STATISTICAL INFERENCE ON THE ACCELERATED COMPETING FAILURE MODEL FROM THE INVERSE WEIBULL DISTRIBUTION UNDER PROGRESSIVELY TYPE-II CENSORED DATA

被引：0

作者：

Wang, Ying ^{[1
]}

Yan, Zai-Zai ^{[1
]}

机构：

[1] Inner Mongolia Univ Technol, Sci Coll, Hohhot, Peoples R China

来源：

THERMAL SCIENCE | 2021年 / 25卷 / 03期

基金：

中国国家自然科学基金;

关键词：

constant-stress accelerated competing failure model; thermal stress; inverse Weibull distribution; Markov chain Monte-Carlo method; STEP-STRESS MODEL; CONSTANT-STRESS; EXPONENTIAL-DISTRIBUTION; RAYLEIGH DISTRIBUTION; RISKS; TIME;

D O I：

10.2298/TSCI191226097W

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this paper, the parameter estimation is discussed by using the maximum likelihood method when the available data have the form of progressively censored sample from a constant-stress accelerated competing failure model. Normal approximation and bootstrap confidence intervals for the unknown parameters are obtained and compared numerically. The simulation results show that bootstrap confidence intervals perform better than normal approximation. A thermal stress example is discussed.

引用

页码：2127 / 2134

页数：8

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