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Bayesian C-optimal life testing plans under progressive type-I interval censoring scheme

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dc.contributor.author Pradhanb, Biswabrata
dc.contributor.author Soumya Roy
dc.date.accessioned 2019-02-06T06:56:21Z
dc.date.available 2019-02-06T06:56:21Z
dc.date.issued 2019-01
dc.identifier.uri http://hdl.handle.net/2259/1005
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Elsevier: Applied Mathematical Modelling en_US
dc.subject Optimal Bayesian life tests plans en_US
dc.subject Progressive Type-I Interval Censoring Scheme en_US
dc.subject Sampling variations en_US
dc.title Bayesian C-optimal life testing plans under progressive type-I interval censoring scheme en_US
dc.type Article en_US

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    This collection consists of published and unpublished scholarly articles of IIMK Community.

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