EXPONENTIAL-FAMILIES AND VARIANCE COMPONENT MODELS

被引：0

作者：

CLASON, DL

MURRAY, LW

机构：

来源：

AMERICAN STATISTICIAN | 1992年 / 46卷 / 01期

关键词：

COMPLETENESS; LEHMANN-SCHEFFE THEOREM; RANDOM COMPONENTS; SUFFICIENCY;

D O I：

10.2307/2684407

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：

This article shows that two slightly differential exponential families are needed for commonly used linear models. The first family is the usual textbook definition. The second family, due to a lemma by Gautschi, is needed for some cross-classified variance component models.

引用

页码：29 / 31

页数：3

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