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
收藏
页码：2993 / 3006
页数：14
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