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 Agiwal, Varun; Tyagi, Shikhar; Chesneau, Christophe Title A name given to the resource Bayesian and Frequentist Estimation of Stress-Strength Reliability from a New Extended Burr XII 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 REVSTAT-Statistical Journal;Volume;23;Issue;1;pp.117-138 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.57805/revstat.v23i1.544" target="_blank" rel="noreferrer noopener">https://doi.org/10.57805/revstat.v23i1.544</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85218745284?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218745284?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 Agiwal V., Indian Institute of Public Health, Telangana, Hyderabad, India; Tyagi S., Department of Statistics and Data Science, Christ Deemed to be University, Bangalore, India; Chesneau C., Department of Mathematics, LMNO, Universitde Caen-Normandie, Caen, France Description An account of the resource In this article, we propose and study a new three-parameter heavy-tailed distribution that uni-fies the Burr type XII and power inverted Topp-Leone distributions in an original manner. This unification is made through the use of a simple shift parameter. Among its interesting function-alities, it exhibits possibly decreasing and unimodal probability density and hazard rate functions. We examine its quantile function, stochastic dominance, ordinary moments, weighted moments, incomplete moments, and stress-strength reliability coefficient. Then, the classical and Bayesian approaches are developed to estimate the model and stress-strength reliability parameters. Bayes estimates are obtained under the squared error and entropy loss functions. Simulated data are considered to point out the performance of the derived estimates based on the mean squared error. In the final part, the potential of the new model is exemplified by the analysis of two engineering data sets, showing that it is preferable to other reputable and comparable models. 2025, National Statistical Institute. All rights reserved. Subject The topic of the resource Bayesian inference; Burr distribution; data analysis; maximum likelihood method; stress-strength reliability Publisher An entity responsible for making the resource available National Statistical Institute Relation A related resource ISSN: 16456726; 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