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...

Paul Green, writing with Carmone and Wachpress (1976), was among the first scholars to introduce latent variable models to marketing by utilizing the CANDECOMP procedure (Carroll 1980) on contingency tables. A year later, Green, Carmone, and Wachpress (1977) introduced logit and log-linear...

This volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended...

This book is about how models can be developed to represent demand and supply on markets, where the emphasis is on demand models. Its primary focus is on models that can be used by managers to support marketing decisions. The market environment is changing rapidly and constantly. With the...

This book is about how models can be developed to represent demand and supply on markets, where the emphasis is on demand models. Its primary focus is on models that can be used by managers to support marketing decisions. The market environment is changing rapidly and constantly. With the...

Internet service needs to be appropriately priced, because Internet Service Providers want to remain competitive, and because pricing is increasingly seen by engineers as an essential tool for controlling network congestion. Thus, the pricing of Internet service lies at the interface of...