A Constrained Formulation of Maximum-Likelihood Estimation for Normal Mixture Distributions

Abstract

The method of maximum likelihood leads to an ill-posed optimization problem in the case of a mixture of normal distributions. Estimation in the univariate case is reformulated using simple constraints into an optimization problem having a strongly consistent, global solution.