Interval estimation for Weibull-distributed life data under Type II progressive censoring with random removals.

Siu-Keung Tse; Liming Xiang

doi:10.1081/bip-120017722

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Interval estimation for Weibull-distributed life data under Type II progressive censoring with random removals.

Siu-Keung Tse·Liming Xiang

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Abstract

This paper explores the problem of interval estimation for parameters of Weibull-distributed data, which are Type II progressively censored with random removals. Seven different confidence interval-estimation procedures are considered. Four of them are based on a parametric bootstrapping approach. Others are based on the asymptotic normality method and the likelihood ratio statistic. We conduct a Monte Carlo simulation to evaluate the performance of these procedures based on their lengths and their coverage probabilities. Furthermore, an example is presented to illustrate the application of these procedures.

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Animals Biometry Computer Simulation Confidence Intervals Insecta Insecticides Likelihood Functions Models, Statistical Monte Carlo Method Normal Distribution Observer Variation Survival Analysis Comparative Study Journal Article

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Siu-Keung Tse, Liming Xiang. 2003. Interval estimation for Weibull-distributed life data under Type II progressive censoring with random removals.. https://doi.org/10.1081/bip-120017722

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