ESTIMATION IN GENERALIZED MIXED MODELS

被引：4

作者：

MCGILCHRIST, CA ^{[1
]}

机构：

[1] FRED HUTCHINSON CANC RES CTR,SEATTLE,WA 98104

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL | 1994年 / 56卷 / 01期

关键词：

BEST LINEAR UNBIASED PREDICTION; GENERALIZED MIXED MODEL; RESIDUAL MAXIMUM LIKELIHOOD;

D O I：

暂无

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：

Regression models containing fixed and random effects may have a response variable which is not normally distributed. The generalized mixed model includes both discrete and continuous response variables and is developed here for problems in which the regression variables enter linearly into the model. Best linear unbiased predictor methods are extended to maximum likelihood and residual maximum likelihood estimation procedures. Applications in modelling discrete response variables and in survival analysis are discussed.

引用

页码：61 / 69

页数：9

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