Combining inferences on the common mean of several inverse Gaussian distributions based on confidence distribution

被引：5
|
作者：
Liu, Xuhua [1 ]
Li, Na [2 ]
Hu, Yuqin [3 ,4 ]
机构：
[1] China Agr Univ, Dept Math, Beijing 100193, Peoples R China
[2] Univ Chinese Acad Sci, Sch Management, Beijing 100049, Peoples R China
[3] Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
[4] Zhejiang Univ Finance & Econ, Sch Math & Stat, Hangzhou 310018, Zhejiang, Peoples R China
来源：
STATISTICS & PROBABILITY LETTERS | 2015年 / 105卷
基金：
中国国家自然科学基金;
关键词：
Inverse Gaussian distribution; Confidence distribution; Coverage probability; Average interval length; TESTING EQUALITY;
D O I：
10.1016/j.spl.2015.06.016
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, a new kind of confidence intervals for the common mean of several inverse Gaussian populations are constructed based on a combined confidence distribution. The simulation results demonstrate that the new method is very satisfactory. (C) 2015 Elsevier B.V. All rights reserved.
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页码：136 / 142
页数：7
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