RELIABILITY STATISTICAL ANALYSIS OF TWO-PARAMETER EXPONENTIAL DISTRIBUTION UNDER CONSTANT STRESS ACCELERATED LIFE TEST WITH INVERSE POWER LAW MODEL

被引：0

作者：

Wang, Ronghua ^{[1
]}

Gu, Beiqing ^{[2
]}

Xu, Xiaoling ^{[2
]}

机构：

[1] Shanghai Normal Univ, Math & Sci Coll, Shanghai 200234, Peoples R China

[2] Shanghai Univ Int Business & Econ, Sch Stat & Informat, Shanghai 201620, Peoples R China

来源：

JOURNAL OF APPLIED ANALYSIS AND COMPUTATION | 2024年 / 14卷 / 05期

关键词：

Two-parameter exponential distribution; constant stress accel- erated life test; inverse power law model; maximum likelihood estimation; interval estimation;

D O I：

10.11948/20240017

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Based on the inverse power law model, the maximum likelihood estimation and interval estimation of two-parameter Exponential distribution are derived in detail under constant stress accelerated life test. Secondly, the accuracy of point estimation and interval estimation is investigated by a large number of Monte Carlo simulations. Finally, examples and simulation examples are given to illustrate the application of the proposed method.

引用

页码：2993 / 3006

页数：14

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