{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:51:28Z","timestamp":1760241088699,"version":"build-2065373602"},"reference-count":30,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2019,11,21]],"date-time":"2019-11-21T00:00:00Z","timestamp":1574294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>A multicomponent system of k components with independent and identically distributed random strengths      X 1  ,  X 2  , \u2026  X k     , with each component undergoing random stress, is in working condition if and only if at least s out of k strengths exceed the subjected stress. Reliability is measured while strength and stress are obtained through a process following an exponentiated moment-based exponential distribution with different shape parameters. Reliability is gauged from the samples using maximum likelihood (ML) on the computed distributions of strength and stress. Asymptotic estimates of reliability are compared using Monte Carlo simulation. Application to forest data and to breaking strengths of jute fiber shows the usefulness of the model.<\/jats:p>","DOI":"10.3390\/a12120246","type":"journal-article","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T02:49:27Z","timestamp":1574390967000},"page":"246","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Estimation of Reliability in a Multicomponent Stress\u2013Strength System for the Exponentiated Moment-Based Exponential Distribution"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3683-5486","authenticated-orcid":false,"given":"G. Srinivasa","family":"Rao","sequence":"first","affiliation":[{"name":"Department of Statistics, School of Mathematical Sciences, CNMS, The University of Dodoma, P.O. Box 259, Dodoma 41000, Tanzania"}]},{"given":"Fiaz Ahmad","family":"Bhatti","sequence":"additional","affiliation":[{"name":"National College of Business Administration and Economics, Lahore 54000, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0644-1950","authenticated-orcid":false,"given":"Muhammad","family":"Aslam","sequence":"additional","affiliation":[{"name":"Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5012-4832","authenticated-orcid":false,"given":"Mohammed","family":"Albassam","sequence":"additional","affiliation":[{"name":"Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,21]]},"reference":[{"unstructured":"Dara, S.T., and Ahmad, M. (2012). Recent Advances in Moment Distributions and their Hazard Rate. 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