Jorjani H, Klei L, Emanuelson U
Interbull Centre, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden.
J Dairy Sci. 2003 Feb;86(2):677-9. doi: 10.3168/jds.S0022-0302(03)73646-7.
Due to computational demand, elements of genetic correlation matrices may have been estimated separately and then combined together into a single correlation matrix at a later stage. Because these matrices should be positive definite (PD) a statistical method commonly known as "bending" is used to make them positive definite. The conventional bending method ignores the reliability of different correlations and may subject any of them to change in order to make a positive definite correlation matrix. A simple method to obtain a weighted bended matrix to be used in animal breeding applications is proposed, and the implementation of the method is demonstrated by an example.
由于计算需求,遗传相关矩阵的元素可能已被分别估计,然后在后期合并为一个单一的相关矩阵。因为这些矩阵应该是正定(PD)的,所以通常使用一种称为“弯曲”的统计方法来使其正定。传统的弯曲方法忽略了不同相关性的可靠性,并且可能会改变其中任何一个相关性以形成正定相关矩阵。本文提出了一种在动物育种应用中获得加权弯曲矩阵的简单方法,并通过一个例子展示了该方法的实现。