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 Garg, Renu; Saini, Shubham; Kumari, Anita Title A name given to the resource On StressStrength Reliability Estimation for the Generalized Inverted Exponential Distribution Under Unified Hybrid Censoring 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 Quality and Reliability Engineering International; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/qre.70271" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/qre.70271</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105040405173?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105040405173?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 Garg R., Department of Statistics, Ramanujan College, Delhi, India; Saini S., Department of Statistics, Chaudhary Charan Singh University, Meerut, India; Kumari A., Department of Data Science, Christ University, Pune, India Description An account of the resource Stressstrength reliability (SSR) analysis plays a fundamental role in reliability engineering, particularly when lifetime data are subject to censoring due to cost or time limitations. In this article, we study the estimation of the reliability parameter (Formula presented.) when the strength (Formula presented.) and stress (Formula presented.) follow the two-parameter generalized inverted exponential distribution (GIED) under a unified hybrid censoring (UHC) scheme, which ensures both a prespecified number of failures and a bounded test duration. Classical inference is developed via maximum likelihood estimation using the EM algorithm, and the corresponding asymptotic confidence intervals are obtained. Bayesian estimation is carried out using MCMC methods under a generalized entropy loss function, along with HPD credible intervals. The UMVUE of (Formula presented.) is also derived for comparison. A Monte Carlo simulation study is conducted to evaluate the performance of the proposed estimators under different censoring scenarios. The results indicate that Bayesian methods, particularly under informative priors, often provide improved estimation accuracy in heavily censored cases. Two real data sets are analyzed to demonstrate the practical applicability of the proposedmethodology. 2026 John Wiley &amp; Sons Ltd. Subject The topic of the resource Bayesian estimation; EM algorithm; generalized inverted exponential distribution; MCMC; stressstrength reliability; unified hybrid 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 Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online