The use of two-component mixture models with one completely or partly known
Procedures are given which provide maximum likelihood estimators of the unknown parameters of mixture models that have only two components. Generalized deviances based on a generalized likelihood ratio test are proposed. A simulated data set is used to show the merits of using the prior knowledge of one mixture component to improve the effect estimates and the respective inference.
scientific article; zbMATH DE number 1409729