Bayesian Life Test Planning for the Weibull Distribution with Given Shape Parameter
Date
2002-10-08
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Meeker, William
Distinguished Professor
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Statistics
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Abstract
This paper describes Bayesian methods for life test planning with Type II censored data from a Weibull distribution, when the Weibull shape parameter is given. We use conjugate prior distributions and criteria based on estimating a quantile of interest of the lifetime distribution. One criterion is based on a precision factor for a credibility interval for a distribution quantile and the other is based on the length of the credibility interval. We provide simple closed form expressions for the relationship between the needed number of failures and the precision criteria. Examples are used to illustrate the results.
Comments
This preprint was published in Metrika 61 (2005): 237–249, doi:10.1007/s001840400334.