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Comparing Sampling Acceptance Plans for Mixed and Type I Censoring Under the Weibull Distribution

C Jianwei

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Abstract

Mixed censoring is a useful extension of Type I and Type II censoring. This paper investigate a model of single sampling acceptance plan for the Weibull distribution with mixed censoring. An explicit expression of the Bayes risk for a reliability decision loss function is given. Comparisons of model with mixed censoring and that with Type I censoring shows our model is superior to the model by Chen and Lam (1999).

About this research paper

What this paper is about

Mixed censoring is a useful extension of Type I and Type II censoring. This paper investigate a model of single sampling acceptance plan for the Weibull distribution with mixed censoring. An explicit expression of the Bayes risk for a reliability decision loss function is given. Comparisons of model with mixed censoring and that with Type I censoring shows our model is superior to the model by Chen and Lam (1999).

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Available abstract

Mixed censoring is a useful extension of Type I and Type II censoring. This paper investigate a model of single sampling acceptance plan for the Weibull distribution with mixed censoring. An explicit expression of the Bayes risk for a reliability decision loss function is given. Comparisons of model with mixed censoring and that with Type I censoring shows our model is superior to the model by Chen and Lam (1999).

Key concepts: Censoring (clinical trials), Weibull distribution, Statistics, Acceptance sampling, Mathematics, Econometrics, Sample size determination

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