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

被引：48

作者：

Ismail, Ali A. ^{[1
,2
]}

机构：

[1] King Saud Univ, Coll Sci, Dept Stat & Operat Res, Riyadh 11451, Saudi Arabia

[2] Cairo Univ, Fac Econ & Polit Sci, Dept Stat, Giza, Egypt

来源：

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS | 2014年 / 260卷

关键词：

Step-stress partially accelerated life testing; Weibull distribution; Maximum likelihood estimator; Type-II progressively hybrid censored data; Monte Carlo simulation; EXPONENTIAL-DISTRIBUTION; OPTIMAL-DESIGN; LIFETIMES; SCHEME;

D O I：

10.1016/j.cam.2013.10.014

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：533 / 542

页数：10

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