缺失数据的特定人群中的参数估计。
Parameter estimation in selected populations with missing data.
作者信息
Yagüe-Utrilla G, García-Cortés L A, Silander M, Varona L, Altarriba J, Moreno C
机构信息
Unidad de Genética Cuantitativa y Mejora Animal, Facultad de Veterinaria, Universidad de Zaragoza, Zaragoza, Spain.
出版信息
J Anim Breed Genet. 2009 Apr;126(2):103-9. doi: 10.1111/j.1439-0388.2008.00778.x.
This study proposes a procedure to estimate genetic parameters in populations where a selection process results in the loss of an unknown number of observations. The method was developed under the Bayesian inference scope following the missing data theory approach. Its implementation requires slight modifications to the Gibbs sampler algorithm. In order to show the efficiency of this option, a simulation study was conducted.
本研究提出了一种程序，用于估计在选择过程导致未知数量观测值缺失的群体中的遗传参数。该方法是在贝叶斯推断范围内，遵循缺失数据理论方法开发的。其实现需要对吉布斯采样算法进行轻微修改。为了展示此方法的效率，进行了一项模拟研究。
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