The Point Estimate of Geometric Distribution under Constant Stress Accelerated Life Test

被引：0
|
作者：
Xu Xiaoling [1 ]
Wang Ronghua [2 ]
Gu Beiqing [1 ]
机构：
[1] Shanghai Inst Foreign Trade, Business Informat Management Sch, Shanghai 201620, Peoples R China
[2] Shanghai Normal Univ, Math & Sci Coll, Shanghai 200234, Peoples R China
来源：
RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2 | 2011年
基金：
美国国家科学基金会;
关键词：
Geometric distribution; Constant stress; Point estimate;
D O I：
暂无
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
Based on two basic assumptions for the constant stress accelerated life test, the point estimates for geometric distribution are obtained through four methods two types of the least square estimate, the quasi-maximum likelihood estimate and the exponential quasi-maximum likelihood estimate. Besides, the example is given to explain the application of the approach to obtain each point estimate for geometric distribution under the constant stress accelerated life test.
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页码：1011 / +
页数：3
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