The Reliability Inference for Multicomponent Stress–Strength Model under the Burr X Distribution
出版日期:2024-03-17 00:00:00
著者:Tsai, Tzong-ru
著錄名稱、卷期、頁數:AppliedMath 4(1), p.394-426
摘要:The reliability of the multicomponent stress–strength system was investigated under the two-parameter Burr X distribution model. Based on the structure of the system, the type II censored sample of strength and random sample of stress were obtained for the study. The maximum likelihood estimators were established by utilizing the type II censored Burr X distributed strength and complete random stress data sets collected from the multicomponent system. Two related approximate confidence intervals were achieved by utilizing the delta method under the asymptotic normal distribution theory and parametric bootstrap procedure. Meanwhile, point and confidence interval estimators based on alternative generalized pivotal quantities were derived. Furthermore, a likelihood ratio test to infer the equality of both scalar parameters is provided. Finally, a practical example is provided for illustration.
關鍵字:multicomponent stress–strength model;Burr X distribution;maximum likelihood estimation;generalized pivotal estimation;asymptotic theory
語言:en_US
ISSN:2673-9909
期刊性質:國外
收錄於:ESCI Scopus
審稿制度:是
國別:CHE
出版型式:電子版