Hypothesis testing for the mean of inverse Gaussian distribution using α-cuts

被引：0

作者：

Icen, Duygu ^{[1
]}

Bacanli, Sevil ^{[1
]}

机构：

[1] Hacettepe Univ, Dept Stat, TR-06800 Ankara, Turkey

来源：

SOFT COMPUTING | 2015年 / 19卷 / 01期

关键词：

Inverse gaussian distribution; Fuzzy test statistic; alpha-cuts;

D O I：

10.1007/s00500-014-1235-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we modify the method proposed by Buckley to testing statistical hypothesis for the mean of an inverse Gaussian distribution. In order to obtain fuzzy test statistic, we use confidence intervals by the help of alpha-cuts. Then the method is applied to test the hypothesis for the mean of inverse Gaussian distribution when the scale parameter is known. Also a comparison is made between the fuzzy and non-fuzzy test procedure for the inverse Gaussian distribution.

引用

页码：113 / 119

页数：7

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