2000 | OriginalPaper | Buchkapitel
Mixture Regression Models
verfasst von : Michel Wedel, Wagner A. Kamakura
Erschienen in: Market Segmentation
Verlag: Springer US
Enthalten in: Professional Book Archive
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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.