Estimation of parameters of a right truncated exponential distribution

被引：12
|
作者：
Dixit, Ulhas J.
Nasiri, Parviz N.
机构：
[1] Univ Bombay, Dept Stat, Bombay 400098, Maharashtra, India
[2] Tehran Payame Noor Univ, Dept Stat, Tehran, Iran
来源：
STATISTICAL PAPERS | 2008年 / 49卷 / 02期
关键词：
right truncated exponential distribution (RTED); moment; maximum likelihood and mixture estimators;
D O I：
10.1007/s00362-006-0008-5
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
The maximum likelihood, moment and mixture of the estimators are for samples from the right truncated exponential distribution. The estimators are compared empirically when all the parameters are unknown; their bias and mean square error are investigated with the help of numerical technique. We have shown that these estimators are asymptotically unbiased. At the end, we conclude that mixture estimators are better than the maximum likelihood and moment estimators.
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页码：225 / 236
页数：12
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