{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T02:06:26Z","timestamp":1778810786435,"version":"3.51.4"},"reference-count":24,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,2,17]],"date-time":"2022-02-17T00:00:00Z","timestamp":1645056000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12061091"],"award-info":[{"award-number":["12061091"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Yunnan Fundamental Research Projects","award":["202101AT070103"],"award-info":[{"award-number":["202101AT070103"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>In this paper, generalized progressive hybrid censoring is discussed, while a scheme is designed to provide a flexible and symmetrical scenario to collect failure information in the whole life cycle of units. When the lifetime of units follows Kumaraswamy distribution, inference is investigated under classical and Bayesian approaches. The maximum likelihood estimates and associated existence and uniqueness properties are established and the confidence intervals for unknown parameters are provided by using a large sample size based on asymptotic theory. Moreover, the Bayes estimates along with highest probability density credible intervals are also developed through the Monte-Carlo Markov Chain sampling technique to approximate the associated posteriors. Simulation studies and a real-life example are presented for illustration purposes.<\/jats:p>","DOI":"10.3390\/sym14020403","type":"journal-article","created":{"date-parts":[[2022,2,17]],"date-time":"2022-02-17T20:26:41Z","timestamp":1645129601000},"page":"403","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Inference for Kumaraswamy Distribution under Generalized Progressive Hybrid Censoring"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2600-5112","authenticated-orcid":false,"given":"Liang","family":"Wang","sequence":"first","affiliation":[{"name":"School of Mathematics, Yunnan Normal University, Kunming 650500, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1244-3859","authenticated-orcid":false,"given":"Ying","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Mathematics, Yunnan Normal University, Kunming 650500, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1080-0231","authenticated-orcid":false,"given":"Yuhlong","family":"Lio","sequence":"additional","affiliation":[{"name":"Department of Mathematical Sciences, University of South Dakota, Vermillion, SD 57069, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9687-6036","authenticated-orcid":false,"given":"Yogesh Mani","family":"Tripathi","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Indian Institute of Technology Patna, Patna 800013, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/s00184-009-0281-0","article-title":"Exact inference for progressively Type-I censored exponential failure data","volume":"73","author":"Balakrishnan","year":"2020","journal-title":"Metrika"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.cam.2013.09.014","article-title":"Computing optimal confidence sets for Pareto models under progressive censoring","volume":"258","author":"Fernandez","year":"2014","journal-title":"J. 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