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Bayesian inference from type II doubly censored Rayleigh data

✍ Scribed by Arturo J Fernández

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
94 KB
Volume
48
Category
Article
ISSN
0167-7152

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✦ Synopsis

In this paper we present a Bayesian approach to inference in reliability studies based on type II doubly censored data from a Rayleigh distribution. We also consider the problem of predicting an independent future sample from the same distribution in a Bayesian setting. The results can be used to predict the failure-time of a k-out-of-m system. Bayes estimators are obtained in nice closed forms. Highest posterior density (HPD) and maximum likelihood (ML) estimators, and HPD intervals can readily be computed using iterative methods.

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