Poulsen, Carsten Stig3; Brockhoff, Per M. B.3; Erichsen, Lars3
1 Department of Marketing and Statistics, Aarhus School of Business, Aarhus BSS, Aarhus University2 MAPP - Centre for Research on Customer Relations in the Food Sector, Aarhus School of Business, Aarhus BSS, Aarhus University3 unknown
This paper will provide an overview of the problem of heterogeneity in consumer data and various ways of coping with it analytically. It will present a new model that combines latent class regression analysis with randon coefficient regression mod together with principal components regression. Finally, the model approach is illustrated, using a data set on consumer evaluations of frozen peas.
Food Quality and Preference, 1997, Vol 8, Issue 5/6, p. 409-417