D-Optimal Designs for Paired Observations in Quadratic Regression with Mixed Effects

被引：1
|
作者：
Mielke, Tobias [1 ]
机构：
[1] Otto Von Guericke Univ, Inst Math Stochast, Magdeburg, Germany
来源：
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2012年 / 41卷 / 07期
关键词：
Mixed effect models; Optimal design; Quadratic regression; Random curvature; Random slope; Sparse sampling; MODELS;
D O I：
10.1080/03610918.2012.625826
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：
In mixed effect models the variability of the regression parameters has substantial influence on the choice of the optimal design. If fewer observations per individual are possible than parameters are to be estimated, the optimality results of single-group designs no longer hold. D-optimal population designs for small individual sampling schemes are considered in this article.
引用
收藏
页码：1107 / 1119
页数：13
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