RESTRICTED MAXIMUM-LIKELIHOOD TO ESTIMATE VARIANCE-COMPONENTS FOR ANIMAL-MODELS WITH SEVERAL RANDOM EFFECTS USING A DERIVATIVE-FREE ALGORITHM
RESTRICTED MAXIMUM-LIKELIHOOD TO ESTIMATE VARIANCE-COMPONENTS FOR ANIMAL-MODELS WITH SEVERAL RANDOM EFFECTS USING A DERIVATIVE-FREE ALGORITHM
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DOI：
10.1051/gse:19890308
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发表时间：
1989-01-01
影响因子：
4.1
通讯作者：
MEYER, K
中科院分区：
文献类型：
--
作者：
MEYER, K
描述了一种方法，用于通过受限的最大似然（REML）对数据产生的几种遗传和环境影响，同时估计方差成分。估计是通过明确评估可能性的，并使用标准的，无衍生的优化程序来定位其最大值来获得估计。所考虑的分析模型是所谓的动物模型，其中包括动物的添加遗传优点作为随机效应，并将有关动物之间关系的所有信息尚无。此外，还考虑了除动物的添加遗传效应之外的随机作用，例如母体遗传，优势或永久性环境影响。重点完全放在单变量分析上。使用模拟来研究三种不同最大化技术的功效和采样误差近似的范围。用数值示例说明了计算。
A method is described for the simultaneous estimation of variance components due to several genetic and environmental effects from unbalanced data by restricted maximum likelihood (REML). Estimates are obtained by evaluating the likelihood explicitly and using standard, derivative-free optimization procedures to locate its maximum. The model of analysis considered is the so-called Animal Model which which includes the additive genetic merit of animals as a random effect, and incoporates all information on relationships between animals. Furthermore, random effects in addition to animals'' additive genetic effects, such as maternal genetic, dominance or permanent environmental effects are taken into account. Emphasis is placed entirely upon univariate analyses. Simulation is employed to investigate the efficacy of three different maximization techniques and the scope for approximation of sampling errors. Computations are illustrated with a numerical example.