Optimal life-testing plans for joint progressively Type-II censored Birnbaum-Saunders distributions with compound optimal criteria
學年 112
學期 2
出版（發表）日期 2024-07-16
作品名稱 Optimal life-testing plans for joint progressively Type-II censored Birnbaum-Saunders distributions with compound optimal criteria
作品名稱（其他語言）
著者 Lin, Chien-tai; Chen, Zhi-wei; Li, Yun-wei
單位
出版者
著錄名稱、卷期、頁數 Quality Technology & Quantitative Management
摘要 In this paper, we first derive the maximum likelihood estimates (MLEs) of the parameters of Birnbaum-Saunders (BISA) distributions based on the joint progressive Type-II censored (JPC) samples. We also discuss using the EM algorithm to obtain the MLEs of the model parameters. Then, we determine the single-objective-criterion optimal JPC schemes for BISA distributions based on the cost minimization criterion, A -optimality criterion, and D -optimality criterion by the complete search method, variable neighborhood search (VNS) algorithm and modified VNS (MVNS) algorithm. These algorithms are compared in terms of accuracy and computation time. In addition, we determine the compound-criterion optimal JPC schemes based on different optimal criteria and the reasonably efficient compound optimal JPC schemes for two competing statistical models, such as the inverse Gaussian and BISA models. The advantages of using the compound optimal scheme over the single-objective-criterion optimal scheme are demonstrated through a real-life data set on the micro-indentation test about the hardness of polymeric bone cement.
關鍵字 EM algorithm;maximum likelihood estimation;Monte Carlo simulation;optimal criteria;variable neighborhood search algorithm
語言 en
ISSN
期刊性質 國外
收錄於 SCI
產學合作 國外
通訊作者 Chien-Tai Lin
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/126210 )