Estimation of critical points in the mixture inverse Gaussian model

被引：0
|
作者：
Ramesh C. Gupta
Olcay Akman
机构：
[1] University of Maine,Department of Mathematics and Statistics
[2] Utah State University,Department of Mathematics and Statistics
来源：
Statistical Papers | 1997年 / 38卷
关键词：
Failure rate; mean residual life function; length biased inverse Gaussian; Birnbaum Saunders' model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The maximum likelihood estimation for the critical points of the failure rate and the mean residual life function are presented in the case of mixture inverse Gaussian model. Several important data sets are analyzed from this point of view. For each of the data sets, Bootstrapping is used to construct confidence intervals of the critical points.
引用
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页码：445 / 452
页数：7
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