{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T15:38:49Z","timestamp":1769182729680,"version":"3.49.0"},"reference-count":40,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T00:00:00Z","timestamp":1664755200000},"content-version":"vor","delay-in-days":275,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p>A new three\u2010parameter extension of the generalized\u2010exponential distribution, which has various hazard rates that can be increasing, decreasing, bathtub, or inverted tub, known as the Marshall\u2010Olkin generalized\u2010exponential (MOGE) distribution has been considered. So, this article addresses the problem of estimating the unknown parameters and survival characteristics of the three\u2010parameter MOGE lifetime distribution when the sample is obtained from progressive type\u2010II censoring via maximum likelihood and Bayesian approaches. Making use of the s\u2010normality of classical estimators, two types of approximate confidence intervals are constructed via the observed Fisher information matrix. Using gamma conjugate priors, the Bayes estimators against the squared\u2010error and linear\u2010exponential loss functions are derived. As expected, the Bayes estimates are not explicitly expressed, thus the Markov chain Monte Carlo techniques are implemented to approximate the Bayes point estimates and to construct the associated highest posterior density credible intervals. The performance of proposed estimators is evaluated via some numerical comparisons and some specific recommendations are also made. We further discuss the issue of determining the optimum progressive censoring plan among different competing censoring plans using three optimality criteria. Finally, two real\u2010life datasets are analyzed to demonstrate how the proposed methods can be used in real\u2010life scenarios.<\/jats:p>","DOI":"10.1155\/2022\/8155929","type":"journal-article","created":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T13:52:22Z","timestamp":1664805142000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Estimation for Parameters of Life of the Marshall\u2010Olkin Generalized\u2010Exponential Distribution Using Progressive Type\u2010II Censored Data"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9916-259X","authenticated-orcid":false,"given":"Ahmed","family":"Elshahhat","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4905-0044","authenticated-orcid":false,"given":"Abdisalam Hassan","family":"Muse","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3169-0967","authenticated-orcid":false,"given":"Omer Mohamed","family":"Egeh","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3328-1139","authenticated-orcid":false,"given":"Berihan R.","family":"Elemary","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2022,10,3]]},"reference":[{"key":"e_1_2_11_1_2","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/84.3.641"},{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40300-014-0056-x"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.1080\/00949650108812098"},{"key":"e_1_2_11_4_2","volume-title":"Continuous Univariate Distribution","author":"Johnson N. 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