Mixture Regression Models

We review mixture models that relate a dependent variable to a set of exogenous or explanatory variables. Also, we describe a generalized linear regression mixture model that encompasses previously developed models as special cases. The model allows for a probabilistic classification of observations into segments and simultaneous estimation of a generalized linear regression model within each segment. Previous applications of the approach to market segmentation are extensively reviewed