人类家系中多基因和混合模型下基于计数方法的最大似然估计
Maximum likelihood estimation by counting methods under polygenic and mixed models in human pedigrees.
作者信息
Ott J
出版信息
Am J Hum Genet. 1979 Mar;31(2):161-75.
Abstract
For pedigree data, the maximum likelihood estimates of the parameters in polygenic and mixed models are derived analytically although not in closed form but in terms of "counting equations" allowing an iterative solution. Likelihood computations, tests of significance, and tests of goodness of fit are presented. Accelerating the (linear) rate of convergence by a very simple method is demonstrated.
摘要
对于系谱数据，多基因模型和混合模型中参数的最大似然估计值是通过解析方法得出的，虽然不是以封闭形式，而是通过“计数方程”得出，从而允许进行迭代求解。文中给出了似然计算、显著性检验和拟合优度检验。展示了一种通过非常简单的方法来加速（线性）收敛速度的方法。
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