Maximum Likelihood Estimation by Counting Methods Under Polygenic
and Mixed Models in Human Pedigrees.
J. Ott
American Journal of Human Genetics ,
31(2),161--175 (1979 Mar)
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.
