GLIMMIX is a powerful approach to segmentation based on latent class models. Mixture regression methods for simultaneous segmentation and estimation of regression models have recently received a great deal of attention in marketing research. In the approaches, consumers are grouped into a number of segments and ,at the same time, a regression model which relates a dependent variable to a set of predictors, is estimated within each segment. The approach has been shown to provide a very powerful approach to segmentation problems.
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