EDGEWORTH EXPANSION OF A FUNCTION OF SAMPLE MEANS

被引:20
作者
BAI, ZD [1 ]
RAO, CR [1 ]
机构
[1] PENN STATE UNIV,CTR MULTIVARIATE ANAL,UNIVERSITY PK,PA 16802
关键词
ASYMPTOTIC EXPANSION; CENTRAL LIMIT THEOREMS; CRAMER-EDGEWORTH EXPANSION; FUNCTION OF SAMPLE MEANS;
D O I
10.1214/aos/1176348250
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
Many important statistics can be written as functions of sample means of vector variables. A fundamental contribution to the Edgeworth expansion for functions of sample means was made by Bhattacharya and Ghosh. In their work the crucial Cramer c-condition is assumed on the joint distribution of all the components of the vector variable. However, in many practical situations, only one or a few of the components satisfy (conditionally) this condition while the rest do not (such a case is referred to as satisfying the partial Cramer c-condition). The purpose of this paper is to establish Edgeworth expansions for functions of sample means when only the partial Cramer c-condition is satisfied.
引用
收藏
页码:1295 / 1315
页数:21
相关论文
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