A link function approach to heterogeneous variance components

被引:12
作者
Foulley, JL
Quaas, RL
d'Arnoldi, CT
机构
[1] INRA, Genet Quantitat & Appl Stn, F-78352 Jouy En Josas, France
[2] Cornell Univ, Dept Anim Sci, Ithaca, NY 14853 USA
关键词
heteroskedasticity; mixed model; maximum likelihood; EM algorithm;
D O I
10.1051/gse:19980102
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
This paper presents techniques of parameter estimation in heteroskedastic mixed models having i) heterogeneous log residual variances which are described by a linear model of explanatory covariates and ii) log residual and log u-components linearly related. This makes the intraclass correlation a monotonic function of the residual variance. Cases of a homogeneous variance ratio and of a homogeneous u-component of variance are also included in this parameterization. Estimation and testing procedures of the corresponding dispersion parameters are based on restricted maximum likelihood procedures. Estimating equations are derived using the standard and gradient EM. The analysis of a small example is outlined to illustrate the theory. (C) Inra/Elsevier, Paris.
引用
收藏
页码:27 / 43
页数:17
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