On the hazard function of Birnbaum-Saunders distribution and associated inference

被引:99
|
作者
Kundu, Debasis [1 ]
Kannan, Nandini [2 ]
Balakrishnan, N. [3 ]
机构
[1] Indian Inst Technol, Dept Math & Stat, Kanpur 208016, Uttar Pradesh, India
[2] Univ Texas San Antonio, Dept Management Sci & Stat, San Antonio, TX 78249 USA
[3] McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, Canada
关键词
Birnbaum-Saunders distribution; hazard function; change point; asymptotic distribution; bootstrap confidence interval; modified moment estimators; bias-corrected modified moment estimators; maximum likelihood estimators;
D O I
10.1016/j.csda.2007.09.021
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we discuss the shape of the hazard function of Birnbaum-Saunders distribution. Specifically, we establish that the hazard function of Birnbaum-Saunders distribution is an upside down function for all values of the shape parameter. In reliability and survival analysis, as it is often of interest to determine the point at which the hazard function reaches its maximum, we propose different estimators of that point and evaluate their performance using Monte Carlo simulations. Next, we analyze a data set and illustrate all the inferential methods developed here and finally make some concluding remarks. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:2692 / 2702
页数:11
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