Statistical inference and Bayesian optimal life-testing plans under Type-II unified hybrid censoring scheme

被引：10
|
作者：
Sen, Tanmay [1 ]
Bhattacharya, Ritwik [2 ]
Pradhan, Biswabrata [3 ]
Tripathi, Yogesh Mani [4 ]
机构：
[1] Ericsson, Data Sci & Artificial Intelligence Unit, Kolkata, India
[2] Tecnol Monterrey, Dept Ind Engn, Sch Engn & Sci, Queretaro 76130, Mexico
[3] Indian Stat Inst, SQC & OR Unit, Kolkata, India
[4] Indian Inst Technol, Dept Math, Patna, Bihar, India
来源：
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | 2021年 / 37卷 / 01期
关键词：
Fisher information matrix; log-normal distribution; optimal life-testing plan; prior distribution; EXACT LIKELIHOOD INFERENCE; FISHER INFORMATION; SAMPLE;
D O I：
10.1002/qre.2721
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This article describes the inferential procedures and Bayesian optimal life-testing issues under Type-II unified hybrid censoring scheme. First, the explicit expressions of expected number of failures, expected duration of testing, and Fisher information matrix for the unknown parameters of the underlying lifetime model are derived. Then, using these quantities, the Bayesian optimal life-testing plans are computed in a subsequent section. A cost constraint D-optimal optimization problem has been formulated, and the corresponding solution algorithm is provided to obtain optimal plans. Computational procedures are illustrated through numerical examples.
引用
收藏
页码：78 / 89
页数：12
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