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> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119042603&amp;doi=10.3390%2Faxioms10040287&amp;partnerID=40&amp;md5=dcbc289ab44d6dc2eda4b5aa22cbf7ed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119042603&amp;doi=10.3390%2faxioms10040287&amp;partnerID=40&amp;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