The numerical evaluation of maximum-likelihood estimates of the parameters for a mixture of normal distributions from partially identified samples
Homer F. Walker · NASA STI Repository (National Aeronautics and Space Administration) · 1976
Likelihood equations determined by the two types of samples which are necessary conditions for a maximum-likelihood estimate were considered. These equations suggest certain successive approximations iterative procedures for obtaining maximum likelihood estimates. The procedures, which are generalized steepest ascent (deflected gradient) procedures, contain those of Hosmer as a special case.