出版日期：2024-08-01 00:00:00

著者：Wu, Shuo-jye

著錄名稱、卷期、頁數：Quality Technology & Quantitative Management 21(4),　p.502-524

摘要：In this paper, statistical inference of an inverted exponentiated Rayleigh model is studied when the failure times are obtained under a modified progressive hybrid censoring. The maximum likelihood estimators of the model parameters together with associated existence and uniqueness are established, and approximate confidence intervals are constructed based on asymptotic theory. Alternatively, generalized point and interval estimates for unknown parameters are also constructed based on the proposed pivotal quantities for comparison. In addition, predictive intervals of remaining useful life from the inverted exponentiated Rayleigh distribution are also constructed under classical and generalized inferential approaches, respectively. Finally, extensive simulation studies are carried out to compare the performance of the proposed methods, and two real-life examples are analyzed for illustration. The numerical results indicate that both traditional likelihood and generalized inferential methods work satisfactorily, and that our proposed generalized approach appears much more appealing and are superior to classical results.

關鍵字：Inverted exponentiated Rayleigh distribution;Modified progressive hybrid censoring;Maximum likelihood estimates;Generalized estimation;remaining useful life;prediction

語言：en_US

ISSN：1684-3703

期刊性質：國外

收錄於：SCI Scopus

審稿制度：是

國別：USA

出版型式：電子版