Reweighted loglikelihood method in robust estimation in a mixed unbalanced model

摘要

In the paper we introduce a method of computing M-estimators in a mixed unbalanced model. The algorithm is based on weighted loglikelihood. It simultaneously finds the estimator of location and scale. Convergence of the algorithm to a solution of M-equations is proved and a simulation study is given.