Estimation in Constant Stress Partially Accelerated Life Tests for Weibull Distribution Based on Censored Competing Risks Data

被引：0
|
作者：
Hassan A.S. [1 ]
Nassr S.G. [2 ]
Pramanik S. [3 ]
Maiti S.S. [4 ]
机构：
[1] Faculty of Graduate Studies for Statistical Research, Cairo University, Giza
[2] Faculty of Business Administration and International Marketing, Sinai University, North Sinai
[3] Department of Statistics, Siliguri College, North Bengal University, Siliguri
[4] Department of Statistics, Visva-Bharati University, Santiniketan
来源：
Annals of Data Science | 2020年 / 7卷 / 1期
关键词：
Censored competing risks data; Maximum likelihood estimation; Step stress partially accelerated life tests; Weibull distribution;
D O I：
10.1007/s40745-019-00226-3
中图分类号：
学科分类号：
摘要：
This article deals with the constant–stress partially accelerated life test using type I and type II censored data in the presence of competing failure causes. Suppose that the occurrence time of the failure cause follows Weibull distribution. Maximum likelihood technique is employed to estimate the population parameters of the distribution. The performance of the theoretical estimators of the parameters are evaluated and investigated by using a simulation algorithm. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
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页码：45 / 62
页数：17
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