Inference for a step-stress partially accelerated life test model with an adaptive Type-II progressively hybrid censored data from Weibull distribution

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• 作者：Ali A. Ismail
• 关键词：62N01 ; 62N05 ; 62F10
• 刊名：Journal of Computational and Applied Mathematics
• 出版年：April, 2014
• 年：2014
• 卷：260
• 期：Complete
• 页码：533-542
• 全文大小：375 K

文摘

In this paper, the maximum likelihood estimators of Weibull distribution parameters and the acceleration factor are discussed based on two different types of progressively hybrid censoring schemes under step-stress partially accelerated life test model. The performances of the estimators of the model parameters using the two progressively hybrid censoring schemes are evaluated and compared in terms of biases and mean squared errors through a Monte Carlo simulation study.