Estimation of a linear function of the parameters of an exponential distribution from doubly censored samples

被引：18

作者：

Elfessi, A ^{[1
]}

机构：

[1] UNIV WISCONSIN,DEPT MATH,LA CROSSE,WI 54601

来源：

STATISTICS & PROBABILITY LETTERS | 1997年 / 36卷 / 03期

关键词：

exponential distribution; scale and location parameters; censored examples; equivariant estimator; admissible estimator;

D O I：

10.1016/S0167-7152(97)81470-8

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：

In this paper improved estimators of the scale and its reciprocal, theta(theta(-1)), and the location, mu, of a two-parameter exponential distribution are given based on a doubly censored sample. Also the problem of estimating the linear function mu + z theta is considered, where z is a given constant. It is shown that the improved estimators are better than the best affine equivariant estimators. (C) 1997 Elsevier Science B.V.

引用

页码：251 / 259

页数：9

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