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.
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页码：29 / 31
页数：3
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