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 Kumar, Kapil; Kumari, Anita; Ghosh, Indranil Title A name given to the resource Estimation of System Reliability Based on Inverted Exponentiated Pareto Distribution Under a Progressively First-Failure Censored Scheme With Application 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 Quality and Reliability Engineering International;Volume;41;Issue;7;pp.3197-3219 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/qre.70017" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/qre.70017</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105010084933?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010084933?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 Kumar K., Department of Statistics, Chaudhary Charan Singh University, Meerut, India; Kumari A., Department of Statistics &amp; Data Science, School of Sciences, Christ University, Ghaziabad, India; Ghosh I., Department of Mathematics and Statistics, University of North Carolina, Wilmington, NC, United States Description An account of the resource This article explores and derives the estimation of the multicomponent stressstrength (MSS) reliability parameter, assuming that the samples are coming from the inverted exponentiated Pareto distribution using a progressively first-failure censored scheme. To estimate the MSS reliability, both classical and Bayesian approaches are adopted. In the classical approach, the maximum likelihood and the asymptotic confidence interval estimation methods are used. The Bayes estimates with their corresponding highest posterior density credible interval estimates are obtained under the Bayesian approach, under the linear exponential loss function under both the noninformative and gamma informative priors. In addition, to compute the Bayes estimates, Markov chain Monte Carlo methods are used. To compare the efficacy of the different estimation strategies adopted in this paper, a Monte Carlo simulation study is carried out. To demonstrate the applicability of the proposed methodology, two real-life scenarios resulting/arising from two different carbon fiber data sets arere-analyzed. 2025 The Author(s). Quality and Reliability Engineering International published by John Wiley &amp; Sons Ltd. Subject The topic of the resource inverted exponentiated Pareto distribution; Monte Carlo simulation; multicomponent stressstrength reliability; progressive first-failure censoring Publisher An entity responsible for making the resource available John Wiley and Sons Ltd Relation A related resource ISSN: 7488017; CODEN: QREIE 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; Hybrid Gold Open Access Format The file format, physical medium, or dimensions of the resource online