Bayesian C-optimal life testing plans under progressive type-I interval censoring scheme
Article Type
Research Article
Publication Title
Applied Mathematical Modelling
Abstract
This work considers optimal planning of progressive type-I interval censoring schemes for log-location-scale family of distributions. Optimum schemes are obtained by using a Bayesian C-optimality design criterion. The C-optimality criterion is formed to attain precision in estimating a particular lifetime quantile. An algorithm is proposed to obtain the optimal censoring schemes. Optimal schemes are obtained under two different scenarios for the Weibull and log-normal models, which are two popular special cases of log-location-scale family of distributions. A sensitivity analysis is conducted to study the effect of various prior inputs on the optimal censoring schemes. Furthermore, a simulation study is undertaken to illustrate the sampling variations resulting from the optimal censoring schemes.
First Page
299
Last Page
314
DOI
10.1016/j.apm.2019.01.023
Publication Date
6-1-2019
Recommended Citation
Roy, Soumya and Pradhan, Biswabrata, "Bayesian C-optimal life testing plans under progressive type-I interval censoring scheme" (2019). Journal Articles. 824.
https://digitalcommons.isical.ac.in/journal-articles/824