Lifetime competing risks data from Lomax distribution in the presence of accelerates life-testing model with Type-I censoring

被引：3

作者：

Abu-Zinadah, Hanaa H. ^{[1
]}

机构：

[1] Univ Jeddah, Fac Sci, Dept Stat, Jeddah, Saudi Arabia

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2020年 / 38卷 / 03期

关键词：

Lomax distribution; accelerates life tests; computing risks model; maximum likelihood estimation; Bayesian estimation; STEP-STRESS MODEL; EXPONENTIAL-DISTRIBUTION; INFERENCE; FAILURE;

D O I：

10.3233/JIFS-179573

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In a different area of life testing, designing experiments needs higher stress level than normal stress one. Also, the time to failure of experimental units is resulted by one of a fetal risk factors, only. In this paper, we adopted partially step-stress accelerates life-tests (ALTs) model on the Lomax lifetime unites under the two different risk factors with type-I censoring scheme. Under this assumption, we will estimate the Lomax parameters as well as accelerated factor by maximum likelihood method, point and asymptotic confidence intervals. Also, the Bayesian MCMC approach is used in obtaining point and credible interval estimations. Theoretical results are discussed and assessed through data analysis and Monte Carlo simulation study. comments.

引用

页码：2873 / 2883

页数：11

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