Volkov I K
Genetika. 1988 Feb;24(2):370-5.
A method for parameter identification of population genetics' mathematical models, taking account of geographical disperse at limited samples of experimental data on mutant frequency values has been developed. The existence of the MLS (method of the least squares) estimations of the models' parameters studied has been proved, zero approach of the looked for estimations found and the iterative procedure of making them precise shown. A means of building up the a posteriori function of probability density of the zero and following approximations of the models' parameters is pointed out. The possibility of application of the proposed method to find estimations of mathematical models' parameters of population genetics, taking account of geographical disperse, has been shown on the particular example.
已开发出一种在实验数据中突变频率值的样本有限且考虑地理分布的情况下，对群体遗传学数学模型进行参数识别的方法。已证明所研究模型参数的最小二乘法（MLS）估计的存在性，找到了所求估计的零近似，并展示了使其精确化的迭代过程。指出了构建模型参数零近似及后续近似概率密度的后验函数的方法。通过具体例子展示了所提方法在考虑地理分布的情况下用于寻找群体遗传学数学模型参数估计的可能性。
