Likelihood Ratio Test and Non-parametric Test for Load Sharing

被引：0
|
作者：
Sutar, Santosh Shashikant [1 ]
机构：
[1] Shivaji Univ, Yashwantrao Chavan Sch Rural Dev, Kolhapur 416004, Maharashtra, India
来源：
AUSTRIAN JOURNAL OF STATISTICS | 2021年 / 50卷 / 01期
关键词：
conditional distribution; likelihood ratio test; load sharing; non-parametric test; order statistics; two-component parallel system; FAILURE; SYSTEM; MODEL; RELIABILITY; COMPONENTS; TIME; DISTRIBUTIONS; STATISTICS;
D O I：
10.17713/ajs.v50i1.979
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In present article, we propose a likelihood ratio test and a non-parametric test for testing the load sharing effect observed in the two component parallel load sharing system. We have modeled the load sharing phenomenon observed in such system by the exponentiated conditional distribution function based load sharing model proposed by Sutar and Naik-Nimbalkar (2016). We have taken component baseline distribution as Weibull distribution and linear failure rate distribution. The simulation study to see the performance of proposed test procedures is reported. We analyze two data sets for illustrative purpose.
引用
收藏
页码：41 / 58
页数：18
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