Exact likelihood inference for an exponential parameter under progressive hybrid censoring schemes

被引：61
|
作者：
Childs, A. [1 ]
Chandrasekar, B. [2 ]
Balakrishnan, N. [1 ]
机构：
[1] McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, Canada
[2] Loyola Coll, Dept Stat, Madras, Tamil Nadu, India
来源：
STATISTICAL MODELS AND METHODS FOR BIOMEDICAL AND TECHNICAL SYSTEMS | 2008年
关键词：
progressive censoring; hybrid censoring; life-testing; exponential distribution; maximum likelihood estimator; conditional moment-generating function; exact inference; lower confidence bound; truncated gamma density;
D O I：
10.1007/978-0-8176-4619-6_23
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The purpose of this chapter is to propose two types of progressive hybrid censoring schemes in life-testing experiments and develop exact inference for the mean of the exponential distribution. The exact distribution of the maximum likelihood estimator and an exact lower confidence bound for the mean lifetime are obtained under both types of progressive hybrid censoring schemes. Illustrative examples are finally presented.
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页码：319 / +
页数：2
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