The Bayes Lower Limit Statistical Analysis of Reliability about Geometric Distribution Model

被引：0

作者：

Zhang Yi ^{[1
]}

Xiong Changwei ^{[1
]}

机构：

[1] China W Normal Univ, Dept Math & Informat, Nanchong 637002, Peoples R China

来源：

RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2 | 2008年

关键词：

Geometric Distribution; Reliability; Bayes Confidence Limit; k Factor;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The reliability of the products needs to be tested because of many products reliability requirements in production and daily life. The geometric distribution has an important use in testing the life of products. so the analysis to the reliability of geometric distribution is theoretical and practical valuable. In this paper, the confidence limit of geometric distribution reliability is discussed by k factor, the expression of the confidence limit is obtained under the historical data and lack of historical data of the products. The result with the matlab programming is simpler and more precise than traditional method.

引用

页码：504 / 507

页数：4