An improved method of estimation for the parameters of the Birnbaum-Saunders distribution

被引:13
作者
Balakrishnan, N. [1 ,2 ]
Zhu, Xiaojun [1 ]
机构
[1] McMaster Univ, Dept Math & Stat, Hamilton, ON L8S 4K1, Canada
[2] King Abdulaziz Univ, Dept Stat, Jeddah 21413, Saudi Arabia
关键词
asymptotic confidence interval; bias; BS distribution; bootstrap confidence interval; Jackknife confidence interval; maximum likelihood estimators; mean square error; modified moment estimators; LIFE DISTRIBUTIONS; MOMENT ESTIMATION; FAMILY;
D O I
10.1080/00949655.2013.789029
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The Birnbaum-Saunders (BS) distribution is a positively skewed distribution, frequently used for analysing lifetime data. In this paper, we propose a simple method of estimation for the parameters of the two-parameter BS distribution by making use of some key properties of the distribution. Compared with the maximum likelihood estimators and the modified moment estimators, the proposed method has smaller bias, but having the same mean square errors as these two estimators. We also discuss some methods of construction of confidence intervals. The performance of the estimators is then assessed by means of Monte Carlo simulations. Finally, an example is used to illustrate the method of estimation developed here.
引用
收藏
页码:2285 / 2294
页数:10
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