ESTIMATING COVARIANCE MATRIX OF RANDOM COMPONENTS IN MIXED MODEL APPROPRIATE TO SINGLE SAMPLE REPEATED MEASURES DATA

被引：0

作者：

SCHMIDT, WH ^{[1
]}

SCHEIFLE.V ^{[1
]}

机构：

[1] MICHIGAN STATE UNIV,COLL EDUC,E LANSING,MI 48823

来源：

AMERICAN EDUCATIONAL RESEARCH JOURNAL | 1973年 / 10卷 / 02期

关键词：

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

引用

页码：125 / 135

页数：11

共 47 条

[21] Estimating Random Coefficient Logit Models with Full Covariance Matrix Comparing Performance of Mixed Logit and Laplace Approximation Methods
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[25] SPECIFY THE BEST COVARIANCE STRUCTURE FOR REPEATED MEASUREMENTS DATA WITH/WITHOUT MISSING OBSERVATIONS USING MIXED MODEL
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[J]. PHARMACEUTICAL STATISTICS, 2018, 17 (05) : 515 - 526
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[J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2009, 38 (05) : 1083 - 1103
[29] Estimating Variance Components and Random Effects Using the Box-Cox Transformation in the Linear Mixed Model
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[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2011, 40 (03) : 515 - 531
[30] Comparing a single case to a control group - Applying linear mixed effects models to repeated measures data
Huber, Stefan
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[J]. CORTEX, 2015, 71 : 148 - 159

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