Finite Mixture Models

Gensler Sonja

Research article (book contribution) | Peer reviewed

Abstract

Finite Mixture models are a state-of-the-art technique of segmentation. Next to segmenting consumers or objects based on multiple different variables, Finite Mixture models can be used in conjunction with multivariate methods of analysis. Unlike approaches combining multivariate methods of analysis and cluster analysis, which require a two-step approach, the parameters are then directly estimated at the segment level. This also allows for inferential statistical analysis. This book chapter explains the basic idea of Finite Mixture models and describes some popular applications of Finite Mixture models in market research.

Details about the publication

PublisherHomburg Christian, Klarmann Martin, Vomberg Arnd
Book titleHandbook of Market Research
Page range251-264
Publishing companySpringer VDI Verlag
Edition1
StatusPublished
Release year2022
Language in which the publication is writtenEnglish
ISBN978-3-319-57412-7
DOI10.1007/978-3-319-57413-4
KeywordsFinite Mixture models; Latent class analysis; Segmentation; Maximum likelihood estimation; Multivariate methods

Authors from the University of Münster

Gensler, Sonja
Professur für Wertbasiertes Marketing (Prof. Wiesel)