THE UNIFORMLY MINIMUM VARIANCE UNBIASED FUZZY ESTIMATORS OF FUZZY PARAMETER BASED ON FUZZY RANDOM VARIABLES

被引：0

作者：

Akbari, Mohammad Ghasem ^{[1
]}

Rezai, Abdolhamid ^{[1
]}

机构：

[1] Ferdowsi Univ Mashhad, Dept Stat, Sch Math Sci, Mashhad 917751159, Iran

来源：

PAKISTAN JOURNAL OF STATISTICS | 2008年 / 24卷 / 03期

关键词：

Fuzzy random variable; Yao-Wu signed distance; Fuzzy random sample; Fuzzy unbiased estimator; Fuzzy sufficient estimator; Fuzzy variance;

D O I：

暂无

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 point estimation, such as other statistical problems, we may confront imprecise concepts. One case is a situation in which observations and parameter are fuzzy. The concept for fuzzy estimators of fuzzy parameters in fuzzy random variables is proposed in this paper. We proposes a new method for uniformly minimum variance unbiased fuzzy (UMVUF) estimation. For this purpose we will make use of a uniformly minimum variance unbiased (UMVU) estimator and we will develop this new method for a fuzzy random sample (X) over tilde (1,) (X) over tilde (2), ..., (X) over tilde (n) is induced by X-1, X-2, ..., X-n on the same probability space.

引用

页码：179 / 191

页数：13

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