Analysis of block adaptive type-II progressive hybrid censoring with Weibull distribution
學年 113
學期 1
出版（發表）日期 2024-12-16
作品名稱 Analysis of block adaptive type-II progressive hybrid censoring with Weibull distribution
作品名稱（其他語言）
著者 Kundan Singh; Yogesh Mani Tripathi; Liang Wang; Shuo-Jye Wu
單位
出版者
著錄名稱、卷期、頁數 Mathematics, Vol. 12, No. 24, 4026.
摘要 The estimation of unknown model parameters and reliability characteristics is considered under a block adaptive progressive hybrid censoring scheme, where data are observed from a Weibull model. This censoring scheme enhances experimental efficiency by conducting experiments across different testing facilities. Point and interval estimates for parameters and reliability assessments are derived using both classical and Bayesian approaches. The existence and uniqueness of maximum likelihood estimates are established. Consequently, reliability performance and differences across different testing facilities are analyzed. In addition, a Metropolis–Hastings sampling algorithm is developed to approximate complex posterior computations. Approximate confidence intervals and highest posterior density credible intervals are obtained for the parametric functions. The performance of all estimators is evaluated through an extensive simulation study, and observations are discussed. A cancer dataset is analyzed to illustrate the findings under the block adaptive censoring scheme.
關鍵字 censoring; Weibull distribution; Metropolis–Hastings algorithm; difference in testing facilities
語言 en_US
ISSN 2227-7390
期刊性質 國外
收錄於 SCI Scopus
產學合作
通訊作者 Shuo-Jye Wu
審稿制度 是
國別 CHE
公開徵稿
出版型式 ,電子版