203 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ghosh, Sanghita; Gundgurti, Ravindra; Vettiyankal, Abraham Title A name given to the resource Some properties of star-perfect graphs Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Communications in Combinatorics and Optimization;Volume;11;Issue;1;pp.49-56 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22049/cco.2023.28076.1484" target="_blank" rel="noreferrer noopener">https://doi.org/10.22049/cco.2023.28076.1484</a> <a href="https://www.scopus.com/pages/publications/105019802895?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019802895?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ghosh S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Gundgurti R., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Vettiyankal A., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource For a finite simple graph G = (V, E), ?s(G) denotes the minimum number of induced stars contained in G such that the union of their vertex sets is V (G), and ?s(G) denotes the maximum number of vertices in G such that no two are contained in the same induced star of G. We call the graph G star-perfect if ?s(H) = ?s(H), for every induced subgraph H of G. We prove here that no cycle in a star-perfect graph has crossing chords and star-perfect graphs are planar. Also we present a few properties of star perfect graphs. 2026 Azarbaijan Shahid Madani University. Subject The topic of the resource crossing chords; planar graph; star-perfect graphs; total graphs Publisher An entity responsible for making the resource available Azarbaijan Shahid Madani University Relation A related resource ISSN: 25382128; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ghosh, Tushar; George, Jossy; Chanti, S. Title A name given to the resource A Novel Hybrid Ensemble Architecture for Stroke Risk Prediction Using Healthcare Data Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1929 LNNS;pp.44-55 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-22911-3_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-22911-3_4</a> <a href="https://www.scopus.com/pages/publications/105039307403?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039307403?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ghosh T., Christ (Deemed to Be University), Bangalore, India; George J., Christ (Deemed to Be University), Bangalore, India; Chanti S., Christ (Deemed to Be University), Bangalore, India Description An account of the resource Stroke is the reason for an alarming number of disabilities worldwide, further emphasising the critical need for early and accurate prediction of risks to inform clinical management. This paper presents a novel hybrid ensemble architecture that leverages the superiority of multiple machine learning models for stroke health risk prediction using health data. In this novel hybridisation, decision tree classifiers belonging to the Random Forest and XGBoost families are effectively combined with support vector machines and a shallow neural network within a Stacked ensemble strategy that uses a hard vote technique. To improve model generalizability and avoid overfitting, feature selection and dimensionality reduction methods like Recursive Feature Elimination (RFE) and Principal Component Analysis (PCA) have been included expertly without compromising performance. After extensive training and testing on a real-world health repository covering a broad range of demographic, lifestyle, and clinical features, the model obtained an outstanding F1-score of 0.9427 and an exemplary ROC-AUC value of 0.9872, much higher than the performance of the individual models. Statistical significance was assessed using the Friedman and Wilcoxon signed-rank test. The model is a strong candidate for incorporation into clinical decision support systems and is fully deployable and EHR-compatible. The Author(s) 2026. Subject The topic of the resource Classification; Ensemble Learning; Feature Selection; Healthcare Analytics; Hybrid Models; Machine Learning; PCA; Stacking; Stroke Prediction Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303222910-6; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Ghouse, Syed Mohammad; Nagaraju, E.; Prakash, Om; Zabiullah, Ismail; Gowda, Anil B; Sharief, Mohammed Ismail Title A name given to the resource Market-Based Strategies for Enhancing Grid Resilience under High Renewable Penetration Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 14th International Conference on Renewable Energy Research and Applications, ICRERA 2025;pp.1848-1853 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICRERA66237.2025.11283943" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRERA66237.2025.11283943</a> <a href="https://www.scopus.com/pages/publications/105032835369?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032835369?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ghouse S.M., CMR University, School of Management, Karnataka, Bangalore, India; Nagaraju E., CMR University, School of Management, Karnataka, Bangalore, India; Prakash O., CMR University, School of Management, Karnataka, Bangalore, India; Zabiullah I., CMR University, School of Management, Karnataka, Bangalore, India; Gowda A.B., Christ University, Karnataka, Bangalore, India; Sharief M.I., CMR University, School of Management, Karnataka, Bangalore, India Description An account of the resource The rise in penetration of renewable energy sources (RES), especially wind and solar, presents important challenges to power system operation and electricity markets. Renewables cut emissions and are cheaper in the long run but are intermittent, creating volatility, uncertainty about revenues, and reliability risks. This study analyses the performance of markets in delivering resilience to the grid given high levels of renewables. A grid simulation over 24 hours was then developed in order to study four aspects of the problem; (i) Stability of revenues for the generators, (ii) Reduction in the cost of imbalances as a result of flexibility, (iii) Reliability in terms of Loss of Load Expectation (LOLE), and Energy Not Served (ENS), and (iv) the impact on costs for consumers. Findings show that flexibility participation reduces costs incurred due to imbalance by ? 60%, and resilience mechanisms reduce the effective tariff faced by consumers from 32/kWh to 6.8/kWh. Reliability indices also improve greatly when flexibility and ancillary services markets are introduced. In addition, a Particle Swarm Optimization (PSO) model was applied to find the optimum levels of renewable penetration and flexibility that result in the least total system cost, which correspond to approximately 0.7 for flexibility and approximately 55-65% for renewables. These results point to the economic and technical need for reengineered electricity markets that incorporate flexibility products, ancillary services, and resilience incentives. This dissertation provides a complete methodology of simulation, reliability metrics, and optimization to inform policy makers, system operators, and investors of resilient renewable dominated grids. 2025 IEEE. Subject The topic of the resource Ancillary services; Flexibility services; Grid resilience; Particle Swarm Optimization (PSO); Renewable energy integration Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159989-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stable copper nanoparticles as potential antibacterial agent against aquaculture pathogens and human fibroblast cell viability Subject The topic of the resource Antibacterial activity; Copper nanoparticles; Fenugreek; Human skin fibroblast cell assay; Vibrio species Description An account of the resource The developments of green nanotechnology are generating interest of researchers towards synthesis of copper nanoparticles due to their increasing application towards the biomedical field. The utilization of phytochemicals in plant extracts have become a valuable trend in the synthesis of nanoparticles as they possess dual nature of reducing and stabilizing agents. In this work a simple and rapid biosynthesis route for producing stable fenugreek copper nanoparticles (FCuNPs) using Trigonella foenum-graecum is demonstrated and assessed its antibacterial activity against gram negative Vibrio species. The characterization of synthesized FCuNPs was carried out using UVvis spectrophotometer and the SPR of FCuNPs is observed at 350 nm. TEM, HRTEM SAED analysis was done to evaluate the morphology and size of FCuNPs. FTIR spectra of both the plant extract and FCuNPs were recorded in order to study the interaction of phytochemicals with FCuNPs. The antibacterial activity of biosynthesized FCuNPs was tested against V. vulnificus, V. harveyi and V. parahaemolyticus using agar well diffusion technique. Since this method of synthesizing copper nanoparticles does not involve any harmful chemicals, the FCuNPs produced are more biocompatible and were used to evaluate human skin fibroblast cell line by Alamar Blue reduction assay. The outcomes of this report will surely provide a new path in the field of nanotechnology and nano medicine where there is a significant need of antibacterial and cell viability studies. Hence, FCuNPs can be powerful therapeutic materials in numerous biomedical applications, which are to be discovered in the near prospective. 2021 Elsevier Ltd Creator An entity primarily responsible for making the resource Ghuglot R.; Titus W.; Agnihotri A.S.; Krishnakumar V.; Krishnamoorthy G.; Marimuthu N. Source A related resource from which the described resource is derived Biocatalysis and Agricultural Biotechnology, Vol-32 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.bcab.2021.101932" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.bcab.2021.101932</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100441419&doi=10.1016%2Fj.bcab.2021.101932&partnerID=40&md5=2fdb6e1cdcaf86c44d55bea3b6571bd2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100441419&doi=10.1016%2fj.bcab.2021.101932&partnerID=40&md5=2fdb6e1cdcaf86c44d55bea3b6571bd2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18788181 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ghuglot R., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore Central Campus, Bengaluru, 560 029, Karnataka, India; Titus W., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore Central Campus, Bengaluru, 560 029, Karnataka, India; Agnihotri A.S., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore Central Campus, Bengaluru, 560 029, Karnataka, India; Krishnakumar V., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore Central Campus, Bengaluru, 560029, Karnataka, India; Krishnamoorthy G., Natural Products Chemistry Groups, Chemical Science & Technology Division, CSIR-North East Institute of Science & Technology (NEIST), Jorhat, 785 006, Assam, India; Marimuthu N., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore Central Campus, Bengaluru, 560 029, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Lyrics of longing: Exploring the role of music in the lived experience of homesickness among college students Subject The topic of the resource coping; emotion; functions of music; nostalgia; perception Description An account of the resource The study investigates the multifaceted role of music during homesickness among first-year college students in India. As compared to other mental health outcomes, homesickness is a relatively understudied phenomenon, yet noteworthy due to its direct association with depression and anxiety. Although empirical evidence about music highlights its therapeutic potential for managing stress and anxiety, few studies have explored its role in connection with homesickness. The data for this study were collected through semi-structured interviews with 10 students about their perception of using music during homesickness. Through interpretative phenomenological analysis, the emerging themes pointed to a mixed influence, highlighting the bittersweet nature of music during homesickness. While music validates feelings and boosts confidence and motivation, it also triggers restorative nostalgia and serves as an escape from confronting homesickness. Moreover, native songs fostered an appreciation for ones culture and helped students connect with their roots. The study contributes to understanding how music is a versatile tool for students dealing with homesickness, offering solace and potential challenges. It serves as a guide to future intervention studies that could explore musics long-term influences. Recognising the diverse ways students perceive and respond to music provides valuable insights for developing tailored interventions and support systems. The Author(s) 2024. Creator An entity primarily responsible for making the resource Gidwani S.; Anchan V.; James N. Source A related resource from which the described resource is derived Psychology of Music Publisher An entity responsible for making the resource available SAGE Publications Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/03057356241271032" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/03057356241271032</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205307017&doi=10.1177%2F03057356241271032&partnerID=40&md5=ff0a7a66272ff2350c0217cad301dff8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205307017&doi=10.1177%2f03057356241271032&partnerID=40&md5=ff0a7a66272ff2350c0217cad301dff8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3057356 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gidwani S., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Anchan V., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; James N., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gidwani, Simran; Anchan, Veenashree; James, Nisha Title A name given to the resource Lyrics of longing: Exploring the role of music in the lived experience of homesickness among college students Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Psychology of Music;Volume;53;Issue;5;pp.762-778 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/03057356241271032" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/03057356241271032</a> <a href="https://www.scopus.com/pages/publications/85205307017?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85205307017?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gidwani S., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Anchan V., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; James N., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource The study investigates the multifaceted role of music during homesickness among first-year college students in India. As compared to other mental health outcomes, homesickness is a relatively understudied phenomenon, yet noteworthy due to its direct association with depression and anxiety. Although empirical evidence about music highlights its therapeutic potential for managing stress and anxiety, few studies have explored its role in connection with homesickness. The data for this study were collected through semi-structured interviews with 10 students about their perception of using music during homesickness. Through interpretative phenomenological analysis, the emerging themes pointed to a mixed influence, highlighting the bittersweet nature of music during homesickness. While music validates feelings and boosts confidence and motivation, it also triggers restorative nostalgia and serves as an escape from confronting homesickness. Moreover, native songs fostered an appreciation for ones culture and helped students connect with their roots. The study contributes to understanding how music is a versatile tool for students dealing with homesickness, offering solace and potential challenges. It serves as a guide to future intervention studies that could explore musics long-term influences. Recognising the diverse ways students perceive and respond to music provides valuable insights for developing tailored interventions and support systems. The Author(s) 2024 Subject The topic of the resource coping; emotion; functions of music; nostalgia; perception Publisher An entity responsible for making the resource available SAGE Publications Ltd Relation A related resource ISSN: 3057356; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reliability test plan for the marshall-olkin extended inverted kumaraswamy distribution Subject The topic of the resource Kumaraswamy distribution; Marshall-olkin family; Method of maximum likelihood; Method of percentiles; Reliability test plan Description An account of the resource This paper mainly interested in studying the wider range behavior of the Marshall-Olkin extended inverted Kumaraswamy distribution. The parameters of model are estimated by various estimation methods. A reliability sampling plan is proposed which can save the test time in practical situations. Some tables are also provided for the new sampling plans so that this method can be used conveniently by practitioners. The developed test plan is applied to ordered failure times of software release to provide its importance in industrial applications. 2021 Gnedenko Forum. All right reserved. Creator An entity primarily responsible for making the resource Gillariose J.; Almetwally E.M.; Joseph J.; Devi V. Source A related resource from which the described resource is derived Reliability: Theory and Applications, Vol-16, No. 3, pp. 26-36. Publisher An entity responsible for making the resource available Gnedenko Forum Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.24412/1932-2321-2021-363-26-36" target="_blank" rel="noreferrer noopener">https://doi.org/10.24412/1932-2321-2021-363-26-36</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118971261&doi=10.24412%2F1932-2321-2021-363-26-36&partnerID=40&md5=ee864b7ae007b69d49ff7fdacbf08b6e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118971261&doi=10.24412%2f1932-2321-2021-363-26-36&partnerID=40&md5=ee864b7ae007b69d49ff7fdacbf08b6e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19322321 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Almetwally E.M., Department of Statistics, Delta University of Science and Technology, Belkas, Egypt; Joseph J., Department of Finance, KMML a PSU Under Government of Kerala, Sankaramangalam, Kollam, 691583, India; Devi V., Department of Mathematics, KE College, Kerala, Mananam, 686561, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource On the discrete weibull marshallolkin family of distributions: Properties, characterizations, and applications Subject The topic of the resource Confidence interval; Discrete distributions; Estimation; Generalized family; MarshallOlkin family; Weibull distribution Description An account of the resource In this article, we introduce a new flexible discrete family of distributions, which accommo-dates wide collection of monotone failure rates. A sub-model of geometric distribution or a discrete generalization of the exponential model is proposed as a special case of the derived family. Besides, we point out a comprehensive record of some of its mathematical properties. Two distinct estimation methods for parameters estimation and two different methods for constructing confidence intervals are explored for the proposed distribution. In addition, three extensive Monte Carlo simulations studies are conducted to assess the advantages between estimation methods. Finally, the utility of the new model is embellished by dint of two real datasets. 2021 by the authors. Licensee MDPI, Basel, Switzerland. Creator An entity primarily responsible for making the resource Gillariose J.; Balogun O.S.; Almetwally E.M.; Khan Sherwani R.A.; Jamal F.; Joseph J. Source A related resource from which the described resource is derived Axioms, Vol-10, No. 4 Publisher An entity responsible for making the resource available MDPI Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/axioms10040287" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/axioms10040287</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119042603&doi=10.3390%2Faxioms10040287&partnerID=40&md5=dcbc289ab44d6dc2eda4b5aa22cbf7ed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119042603&doi=10.3390%2faxioms10040287&partnerID=40&md5=dcbc289ab44d6dc2eda4b5aa22cbf7ed</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20751680 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Balogun O.S., School of Computing, University of Eastern Finland, Kuopio, 70211, Finland; Almetwally E.M., Department of Statistics, Delta University of Science and Technology, Belkas, 35631, Egypt; Khan Sherwani R.A., College of Statistical and Actuarial Sciences, University of the Punjab, Lahore, 54000, Pakistan; Jamal F., Department of Statistics, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan; Joseph J., Department of Finance, KMML a Company under Government of Kerala, Sankaramangalam, Kollam, 691583, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Extended Slash Modified Lindley Distribution to Model Economic Variables Showing Asymmetry Subject The topic of the resource Data fitting; Income data; Lindley distribution; Maximum likelihood estimation; Slash Lindley distribution Description An account of the resource This article introduces a novel probability distribution to model economic variables with high kurtosis and heavy tails showing a decreasing trend. From a mathematical viewpoint, it corresponds to the distribution of the ratio of two independent random variables, one with the modified Lindley distribution and another with the beta distribution. In some sense, it can be described as an extended three-parameter version of the Lindley distribution that has the ability to model data with high kurtosis. After presenting this distribution in more in-depth details, a comprehensive analysis is given, including its associated functions, moments, skewness, and kurtosis characteristics. Furthermore, a parametric estimation work is carried out. A simulation approach is used to validate the performance of the obtained estimates. The applicability of the proposed distribution is demonstrated by fitting real-world data into various socioeconomic scenarios. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Gillariose J.; Joseph J.; Chesneau C. Source A related resource from which the described resource is derived Computational Economics Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10614-024-10799-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10614-024-10799-8</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213523130&doi=10.1007%2Fs10614-024-10799-8&partnerID=40&md5=8d67db185ece47f4af866e512a4cdd2c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213523130&doi=10.1007%2fs10614-024-10799-8&partnerID=40&md5=8d67db185ece47f4af866e512a4cdd2c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9277099 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics and Data Science, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O, Peermade, Kerala, Idukki District, India; Chesneau C., Department of Mathematics, LMNO, University of Caen, Caen, 14032, France Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource On an extension of the two-parameter Lindley distribution Subject The topic of the resource Exponential distribution; Generalized family; Lindley distribution; Marshall-Olkin extended distribution; Maximum likelihood estimation Description An account of the resource AIM: Lindley distribution has been widely studied in statistical literature because it accommodates several interesting properties. In lifetime data analysis contexts, Lindley distribution gives a good description over exponential distribution. It has been used for analysing copious real data sets, specifically in applications of modeling stress-strength reliability. This paper proposes a new generalized two-parameter Lindley distribution and provides a comprehensive description of its statistical properties such as order statistics, limiting distributions of order statistics, Information theory measures, etc. METHODS: We study shapes of the probability density and hazard rate functions, quantiles, moments, moment generating function, order statistic, limiting distributions of order statistics, information theory measures, and autoregressive models are among the key characteristics and properties discussed. The two-parameter Lindley distribution is then subjected to statistical analysis. The paper uses methods of maximum likelihood to estimate the parameters of the proposed distribution. The usefulness of the proposed distribution for modeling data is illustrated using a real data set by comparison with other generalizations of the exponential and Lindley distributions and is depicted graphically. RESULTS/FINDINGS: This paper presents relevant characteristics of the proposed distribution and applications. Based on this study, we found that the proposed model can be used quite effectively to analyzing lifetime data. CONCLUSIONS: In this article, we proffered a new customized Lindley distribution. The proposed distribution enfolds exponential and Lindley distributions as sub-models. Some properties of this distribution such as quantile function, moments, moment generating function, distributions of order statistics, limiting distributions of order statistics, entropy, and autoregressive time series models are studied. This distribution is found to be the most appropriate model to fit the carbon fibers data compared to other models. Consequently, we propose the MOTL distribution for sketching inscrutable lifetime data sets. 2023 DSR Publishers/The University of Jordan. Creator An entity primarily responsible for making the resource Gillariose J.; Tomy L. Source A related resource from which the described resource is derived Reliability: Theory and Applications, Vol-18, No. 1, pp. 385-402. Publisher An entity responsible for making the resource available Gnedenko Forum Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.24412/1932-2321-2023-172-385-402" target="_blank" rel="noreferrer noopener">https://doi.org/10.24412/1932-2321-2023-172-385-402</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158069331&doi=10.24412%2F1932-2321-2023-172-385-402&partnerID=40&md5=e950e094104acf2d81e6c5a66cd86400" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158069331&doi=10.24412%2f1932-2321-2023-172-385-402&partnerID=40&md5=e950e094104acf2d81e6c5a66cd86400</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19322321 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Tomy L., Department of Statistics, Deva Matha College, Kerala, Kuravilangad, 686633, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AN ECONOMIC RELIABILITY TEST PLAN BASED ON TRUNCATED LIFE TESTS FOR MARSHALL-OLKIN POWER LOMAX DISTRIBUTION WITH APPLICATIONS Subject The topic of the resource ASP; consumers risk; Lomax model; OC function; producers risk; truncated life tests Description An account of the resource In every competitive enterprise, there has been a resurgence of interest in increasing the quality of products. In this paper, we create new acceptance sampling plans based on truncated life tests for the Marshall-Olkin power Lomax distribution. The minimum sample sizes needed to declare the specified mean life with respect to the newly developed sampling plans are obtained for different values of the model parameters. Besides, the operating characteristic function values, minimum ratios of the true value and the required value of the parameter with a given producer risk are discussed. Moreover, the results are illustrated using numerical examples, and a real data set is considered to illustrate the functioning of the recommended acceptance sampling plans. The result shows that the proposed plan is more adequate compared with other acceptance sampling plans available in the open literature. So, it can be used for industry applications. 2010 Mathematics Subject Classification. 60E05, 62E15, 62F10. 2022, Asia Pacific Academic. All rights reserved. Creator An entity primarily responsible for making the resource Gillariose J.; Tomy L.; Chesneau C. Source A related resource from which the described resource is derived Asia Pacific Journal of Mathematics, Vol-9 Publisher An entity responsible for making the resource available Asia Pacific Academic Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.28924/APJM/9-12" target="_blank" rel="noreferrer noopener">https://doi.org/10.28924/APJM/9-12</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130722311&doi=10.28924%2FAPJM%2F9-12&partnerID=40&md5=575fe08745e2af034a8c1f9c30ef73b8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130722311&doi=10.28924%2fAPJM%2f9-12&partnerID=40&md5=575fe08745e2af034a8c1f9c30ef73b8</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23572205 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics, CHRIST (Deemed to be University), India; Tomy L., Department of Statistics, Deva Matha College, India; Chesneau C., Department of Mathematics, Universitde Caen, France Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Discrete Kumaraswamy Marshall-Olkin Exponential Distribution Subject The topic of the resource Discrete distributions; Exponential distribution; Generalized family; Geometric distribution; Marshall-olkin extended distribution; Maximum likelihood estimation Description An account of the resource Finding new families of distributions has become a popular tool in statistical research. In this article, we introduce a new flexible four-parameter discrete model based on the Marshall-Olkin approach, namely, the discrete Kumaraswamy MarshallOlkin exponential distribution. The proposed distribution can be viewed as another generalization of the geometric distribution and enfolds some important distributions as special cases. Some properties of the new distribution are derived. The model parameters are estimated by the maximum likelihood method, with validation through a complete simulation study. The usefulness of the new model is illustrated via counttype real data sets. 2022. Journal of the Iranian Statistical Society. All Rights Reserved. Creator An entity primarily responsible for making the resource Gillariose J.; Tomy L.; Jamal F.; Chesneau C. Source A related resource from which the described resource is derived Journal of the Iranian Statistical Society, Vol-20, No. 2, pp. 129-152. Publisher An entity responsible for making the resource available Iranian Statistical Society Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.52547/jirss.20.2.129" target="_blank" rel="noreferrer noopener">https://doi.org/10.52547/jirss.20.2.129</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129643095&doi=10.52547%2Fjirss.20.2.129&partnerID=40&md5=05341e15c44066d15857f68f3fe1d402" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129643095&doi=10.52547%2fjirss.20.2.129&partnerID=40&md5=05341e15c44066d15857f68f3fe1d402</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 17264057 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics, CHRIST (Deemed to be University), Karnataka, Hosur Road, Bangalore, 560029, India; Tomy L., Department of Statistics, Deva Matha College, Kerala, Kuravilangad, 686633, India; Jamal F., Department of Statistics, The Islamia University of Bahawalpur, Punjab, 63100, Pakistan; Chesneau C., Universitde Caen, LMNO, Campus II, Science 3, Caen, 14032, France Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gillariose, Jiju; Abdelwahab, Mahmoud M.; Elbatal, Ibrahim; Joseph, Joshin; Balogun, Oluwafemi Samson; Hasaballah, Mustafa M. Title A name given to the resource A New Versatile Discrete Distribution for Censored Data: Frequentist and Bayesian Methods With Real-Life Applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived IEEE Access;Volume;13;pp.196552-196564 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCESS.2025.3627766" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2025.3627766</a> <a href="https://www.scopus.com/pages/publications/105020722018?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105020722018?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., CHRIST (Deemed to be University), Department of Statistics and Data Science, Karnataka, Bengaluru, 560029, India; Abdelwahab M.M., Faculty of Science, Department of Mathematics and Statistics, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Elbatal I., Faculty of Science, Department of Mathematics and Statistics, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Joseph J., SCAPS, Marian College Kuttikkanam (Autonomous), Idukki, Kerala, Kuttikkanam, 685531, India; Balogun O.S., University of Eastern Finland, School of Computing, Kuopio, 70211, Finland; Hasaballah M.M., Marg Higher Institute of Engineering and Modern Technology, Department of Basic Sciences, Cairo, 11721, Egypt Description An account of the resource This study introduces a novel and highly flexible class of discrete probability distributions tailored to model the diverse monotonic failure-rate patterns frequently observed in stock-market data. The proposed distribution accommodates outliers effectively and serves as a discrete analogue of the exponential law, enabling analysts to derive robust and interpretable insights into market dynamics. Fundamental mathematical characteristics of the distributionsuch as the probability-generating function, mean, and varianceare thoroughly derived. The model is further extended to handle Type-II censored data, enhancing its applicability to real-world scenarios where incomplete observations are common. Parameter estimation is performed using both maximum-likelihood and Bayesian approaches, with a special focus on techniques suitable for censored samples. The performance and reliability of the estimators are examined through extensive simulation studies. To validate the practical utility of the model, it is applied to five real stock-market datasets obtained from Indiastat. The results demonstrate a superior empirical fit, affirming the models relevance in capturing the underlying patterns of financial time series. This distribution provides a valuable tool for analysts and researchers in the fields of financial statistics, risk modeling, and market behavior analysis. 2013 IEEE. Subject The topic of the resource Bayesian analysis; Discrete probability distributions; generalized distribution families; maximum likelihood estimation; simulation; stock market data; type-II censored data Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISSN: 21693536; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gillariose, Jiju; Abdelwahab, Mahmoud M.; Elbatal, Ibrahim; Oommen, Ninan P.; Joseph, Joshin; Hasaballah, Mustafa M. Title A name given to the resource A comparative study of bayesian and classical methods for the weighted Lindley distribution under unified hybrid censoring with survival data applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived AIMS Mathematics;Volume;10;Issue;9;pp.22180-22205 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3934/math.2025987" target="_blank" rel="noreferrer noopener">https://doi.org/10.3934/math.2025987</a> <a href="https://www.scopus.com/pages/publications/105017389407?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017389407?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics and Data Science, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Abdelwahab M.M., Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Elbatal I., Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Oommen N.P., Department of Statistics and Data Science, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O, Peermade, Idukki District, Kerala, 685531, India; Hasaballah M.M., Department of Basic Sciences, Marg Higher Institute of Engineering and Modern Technology, Cairo, 11721, Egypt Description An account of the resource In survival analysis and reliability engineering, censoring schemes play a crucial role in efficient data collection and analysis. This study investigated the unified hybrid censoring scheme (UHCS), a versatile framework that integrates multiple censoring strategies, to evaluate the suitability of the Weighted Lindley (WL) distribution for modeling lifetime data. Maximum likelihood estimates (MLEs) and their corresponding asymptotic confidence intervals are derived for the parameters of the WL distribution. In the Bayesian framework, parameter estimation was performed under a squared error loss function. A detailed Monte Carlo simulation study was conducted to compare the performance of classical and Bayesian estimators across various sample sizes and censoring schemes. The simulation results revealed that Bayesian estimators consistently yielded lower mean squared errors (MSEs) than their classical counterparts, and the associated credible intervals were generally narrower than the frequentist confidence intervals. To demonstrate the practical applicability of the proposed methods, the analysis was applied to real-world survival datasets. The results highlighted the effectiveness of the WL distribution under UHCS, offering valuable insights for researchers and practitioners in reliability and survival analysis. 2025 the Author(s), licensee AIMS Press. Subject The topic of the resource Bayesian estimation; censored data; Markov Chain Monte Carlo; maximum likelihood estimation; reliability modeling; survival analysis; unified hybrid censoring scheme; weighted Lindley distribution Publisher An entity responsible for making the resource available American Institute of Mathematical Sciences Relation A related resource ISSN: 24736988; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gillariose, Jiju; Abdelwahab, Mahmoud M.; Joseph, Joshin; Hasaballah, Mustafa M. Title A name given to the resource A Gauss Hypergeometric-Type Model for Heavy-Tailed Survival Times in Biomedical Research Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Symmetry;Volume;17;Issue;11;Article No.;1795; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/sym17111795" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/sym17111795</a> <a href="https://www.scopus.com/pages/publications/105023208925?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023208925?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics and Data Science, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Abdelwahab M.M., Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Joseph J., School of Commerce and Professional Studies, Marian College Kuttikkanam, Kerala, Peermade, 685531, India; Hasaballah M.M., Department of Basic Sciences, Marg Higher Institute of Engineering and Modern Technology, Cairo, 11721, Egypt Description An account of the resource In this study, we introduced and analyzed the SlashLogLogistic (SlaLL) distribution, a novel statistical model developed by applying the slash methodology to loglogistic and beta distributions. The SlaLL distribution is particularly suited for modeling datasets characterized by heavy tails and extreme values, frequently encountered in survival time analyses. We derived the mathematical representation of the distribution involving Gauss hypergeometric and beta functions, explicitly established the probability density function, cumulative distribution function, hazard rate function, and reliability function, and provided clear definitions of its moments. Through comprehensive simulation studies, the accuracy and robustness of maximum likelihood and Bayesian methods for parameter estimation were validated. Comparative empirical analyses demonstrated the SlaLL distributions superior fitting performance over well-known slash-based models, emphasizing its practical utility in accurately capturing the complexities of real-world survival time data. 2025 by the authors. Subject The topic of the resource Bayesian estimation; Gauss hypergeometric function; heavy-tailed data; loglogistic distribution; maximum likelihood estimation; survival analysis Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) Relation A related resource ISSN: 20738994; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gillariose, Jiju; Abdelwahab, Mahmoud M.; Venkatesan, Rakshana; Joseph, Joshin; Abdelkawy, Mohamed A.; Hasaballah, Mustafa M. Title A name given to the resource Design and Analysis of Reliability Sampling Plans Based on the ToppLeone Generated Weibull Distribution Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Symmetry;Volume;17;Issue;9;Article No.;1439; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/sym17091439" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/sym17091439</a> <a href="https://www.scopus.com/pages/publications/105017316330?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017316330?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics and Data Science, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Abdelwahab M.M., Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Venkatesan R., Department of Statistics and Data Science, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O, Idukki District, Kerala, Peermade, 685531, India; Abdelkawy M.A., Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Hasaballah M.M., Department of Basic Sciences, Marg Higher Institute of Engineering and Modern Technology, Cairo, 11721, Egypt Description An account of the resource As part of this study, we design a reliability acceptance sampling plan under the assumption that the lifetime of a product follows the ToppLeone generated Weibull (TLGW) distribution, a model that exhibits structural symmetry in its hazard rate behavior and distributional form. The fundamental procedures for constructing such a plan are described. We compute and tabulate the minimum sample sizes required for given risk criteria using both binomial and Poisson models for the number of failures. We also provide the operating characteristic (OC) values for the proposed sampling plans, and determine the minimum ratios of true mean life to specified mean life needed to satisfy a given producers risk. The role of symmetry in the TLGW distribution is highlighted in its balanced tail properties and shape characteristics, which influence the performance of the acceptance sampling plan. Finally, we illustrate the applicability of the proposed plan with real-world data. 2025 by the authors. Subject The topic of the resource operating characteristic function; producers risk; reliability test plan; ToppLeone family; ToppLeone generated Weibull distribution; Weibull distribution Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) Relation A related resource ISSN: 20738994; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gillariose, Jiju; Joseph, Joshin; Chesneau, Christophe Title A name given to the resource Extended Slash Modified Lindley Distribution to Model Economic Variables Showing Asymmetry Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Computational Economics;Volume;66;Issue;4;pp.3497-3516 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10614-024-10799-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10614-024-10799-8</a> <a href="https://www.scopus.com/pages/publications/85213523130?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85213523130?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics and Data Science, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O, Peermade, Kerala, Idukki District, India; Chesneau C., Department of Mathematics, LMNO, University of Caen, Caen, 14032, France Description An account of the resource This article introduces a novel probability distribution to model economic variables with high kurtosis and heavy tails showing a decreasing trend. From a mathematical viewpoint, it corresponds to the distribution of the ratio of two independent random variables, one with the modified Lindley distribution and another with the beta distribution. In some sense, it can be described as an extended three-parameter version of the Lindley distribution that has the ability to model data with high kurtosis. After presenting this distribution in more in-depth details, a comprehensive analysis is given, including its associated functions, moments, skewness, and kurtosis characteristics. Furthermore, a parametric estimation work is carried out. A simulation approach is used to validate the performance of the obtained estimates. The applicability of the proposed distribution is demonstrated by fitting real-world data into various socioeconomic scenarios. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Subject The topic of the resource Data fitting; Income data; Lindley distribution; Maximum likelihood estimation; Slash Lindley distribution Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 9277099; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gillariose, Jiju; Joseph, Joshin; Sijo, P. Title A name given to the resource Disentangling homeowner motives for solar PV: Psychometric development, validation and invariance test of the Motivation for Rooftop Solar Adoption Scale Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Social Sciences and Humanities Open;Volume;13;Issue;;Article No.;102802; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ssaho.2026.102802" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ssaho.2026.102802</a> <a href="https://www.scopus.com/pages/publications/105035630741?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035630741?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gillariose J., Department of Statistics and Data Science, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Joseph J., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O. Peermade, Kerala, Idukki, 685531, India; Sijo P., SCAPS, Marian College Kuttikkanam, Kuttikkanam P.O. Peermade, Kerala, Idukki, 685531, India Description An account of the resource The rooftop photovoltaic (PV) adoption of households is shaped by heterogeneous motives of the household that extend beyond economic calculus, yet prior research often measures these motives using ad hoc or single-item indicators, limiting comparability across studies. This study develops and validates the Motivation for Rooftop Solar Adoption Scale (MRSAS) to disentangle the key motivational dimensions that drives the household PV adoption. Following established scale-development guidance, we generated an initial item pool from theory and recent PV-adoption evidence, assessed content adequacy using a structured Q-sort, and then conducted exploratory factor analysis (N = 295), followed by confirmatory factor analysis (N = 312). Results support a parsimonious 22 item six-factor model with Social Influence, Financial Motivation, Environmental Protectionism, Energy Self-Reliance, Facilitating Conditions, and Technophile Attitude as dimensions. The model exhibits excellent confirmatory model fit along with strong reliability and discriminant validity. Multi-group CFA establishes scalar invariance between adopters and non-adopters, aligning with theory, adopters score higher across all six motivational dimensions. The MRSAS provides a psychometrically robust and transferable tool for profiling why households adopt solar, supporting cumulative theory-building and enabling practitioners to tailor incentives, communication and programme design to the motivations that matter. 2026 The Authors. Subject The topic of the resource Green home; Motives for solar; pv motives; Residential solar; Rooftop solar; Solar photovoltaic adoption Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 25902911; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Exploration of activation energy and binary chemical reaction effects on nano Casson fluid flow with thermal and exponential space-based heat source Subject The topic of the resource Activation energy; Binary chemical reaction; Exponential heat source; Nanofluids; Nanoparticles; Nonlinear radiation Description An account of the resource Purpose: The purpose of this paper is to explore the effects of binary chemical reaction and activation energy on nano Casson liquid flow past a stretched plate with non-linear radiative heat, and also, the effect of a novel exponential space-dependent heat source (ESHS) aspect along with thermal-dependent heat source (THS) effect in the analysis of heat transfer in nanofluid. Comparative analysis is carried out between the flows with linear radiative heat process and non-linear radiative heat process. Design/methodology/approach: A similarity transformation technique is utilised to access the ODEs from the governed PDEs. The manipulation of subsequent non-linear equations is carried out by a well-known numerical approach called RungeKuttaFehlberg scheme. Obtained solutions are briefly discussed with the help of graphical and tabular illustrations. Findings: The effects of various physical parameters on temperature, nanoparticles volume fraction and velocity fields within the boundary layer are discussed for two different flow situations, namely, flow with linear radiative heat and flow with non-linear radiative heat. It is found that an irregular heat source/sink (ESHS and THS) and non-linear solar radiation play a vital role in the enhancement of the temperature distributions. Originality/value: The problem is relatively original to study the effects of activation energy and binary chemical reaction along with a novel exponential space-based heat source on laminar boundary flow past a stretched plate in the presence of non-linear Rosseland radiative heat. 2019, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Gireesha B.J.; Archana M.; Mahanthesh B.; Prasannakumara B.C. Source A related resource from which the described resource is derived Multidiscipline Modeling in Materials and Structures, Vol-15, No. 1, pp. 227-245. Publisher An entity responsible for making the resource available Emerald Group Holdings Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/MMMS-03-2018-0051" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/MMMS-03-2018-0051</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057578294&doi=10.1108%2FMMMS-03-2018-0051&partnerID=40&md5=d792296fbd47a401cb9361d34a7969dd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057578294&doi=10.1108%2fMMMS-03-2018-0051&partnerID=40&md5=d792296fbd47a401cb9361d34a7969dd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15736105 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gireesha B.J., Department of Mathematics, Kuvempu University, Shankaraghatta, India; Archana M., Kuvempu University, Shankaraghatta, India; Mahanthesh B., Department of Mathematics, Christ University, Bangalore, India; Prasannakumara B.C., Department of Mathematics, Government First Grade College, Koppa, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Impact of ohmic heating on MHD mixed convection flow of Casson fluid by considering Cross diffusion effect Subject The topic of the resource Casson fluid; Cross diffusion effect; Joule heating; magnetic field; nonlinear thermal radiation; vertical surface; viscous dissipation Description An account of the resource Present communication aims to discuss the impact of viscous dissipation on MHD flow, heat and mass transfer of Casson fluid over a plate by considering mixed convection. Nonlinear partial differential systems are reduced to the ordinary ones through transformation procedure. The modelled nonlinear systems are computed implementing RKF-45 scheme. Convergent solutions for velocity and temperature and concentration fields are given diagrammatically. The obtained results are compared with published literatures and reasonable agreement is found. It is found that, temperature profile increases by increasing values of Dufour parameter, whereas on opposite trend is observed in concentration profile for increasing values Soret parameter. 2019 B.J. Gireesha et al. Creator An entity primarily responsible for making the resource Gireesha B.J.; Ganesh Kumar K.; Krishnamurthy M.R.; Manjunatha S.; Rudraswamy N.G. Source A related resource from which the described resource is derived Nonlinear Engineering, Vol-8, No. 1, pp. 380-388. Publisher An entity responsible for making the resource available De Gruyter Open Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1515/nleng-2017-0144" target="_blank" rel="noreferrer noopener">https://doi.org/10.1515/nleng-2017-0144</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055807691&doi=10.1515%2Fnleng-2017-0144&partnerID=40&md5=fe0444423f23d694053730449956644d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055807691&doi=10.1515%2fnleng-2017-0144&partnerID=40&md5=fe0444423f23d694053730449956644d</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21928010 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577451, India; Ganesh Kumar K., Department of Mathematics, SJM Institution of technology, Chitradurga, Karnataka, 577502, India; Krishnamurthy M.R., Department of Mathematics, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, 577201, India; Manjunatha S., Department of Engineering Mathematics, Faculty of Engineering, Christ University, Mysore Road, Bengaluru, 560074, India; Rudraswamy N.G., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577451, India