A UNIFIED APPROACH TO MIXED LINEAR-MODELS

被引：417

作者：

MCLEAN, RA

SANDERS, WL

STROUP, WW

机构：

[1] UNIV NEBRASKA,INST AGR & NAT RES,DEPT BIOMETRY,LINCOLN,NE 68583

[2] UNIV TENNESSEE,AGR EXPT STN,KNOXVILLE,TN 37996

[3] UNIV TENNESSEE,KNOXVILLE,TN 37901

来源：

AMERICAN STATISTICIAN | 1991年 / 45卷 / 01期

关键词：

BEST LINEAR UNBIASED PREDICTION; INFERENCE SPACE; MIXED MODEL EQUATIONS; REALIZED VALUES; STANDARD ERRORS;

D O I：

10.2307/2685241

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：

The mixed model equations as presented by C. R. Henderson offers the base for a methodology that provides flexibility of fitting models with various fixed and random elements with the possible assumption of correlation among random effects. The advantage of teaching analysis of variance applications from this methodology is presented. Particular emphasis is placed upon the relationship between choice of estimable function and inference space.

引用

页码：54 / 64

页数：11

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[Anonymous], 1991, PRINCIPLES PROCEDURE

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CORNFIELD J, 1953, UNPUB 2 WAY CLASSIFI