Hierarchical bayes conjoint choice models : model framework, Bayesian inference, model selection, and interpretation of estimation results
Year of publication: |
2021
|
---|---|
Authors: | Goeken, Nils ; Kurz, Peter ; Steiner, Winfried J. |
Published in: |
Marketing : ZFP ; journal of research and management. - München : Beck, ISSN 0344-1369, ZDB-ID 717348-9. - Vol. 43.2021, 3, p. 49-66
|
Subject: | Choise-based Conjoint Analysis | Preference Heterogeneity | Multinomial Logit Models | Hierarchical Bayesian Estimation | Dirichlet Process Mixture | Bayes-Statistik | Bayesian inference | Conjoint-Analyse | Conjoint analysis | Logit-Modell | Logit model | Präferenztheorie | Theory of preferences | Schätztheorie | Estimation theory | Marktforschung | Market research | Modellierung | Scientific modelling |
-
Paetz, Friederike, (2019)
-
Multimodal preference heterogeneity in choice-based conjoint analysis : a simulation study
Goeken, Nils, (2024)
-
Construction of heterogeneous conjoint choice designs : a new approach
Liu, Qing, (2015)
- More ...
-
Hein, Maren, (2022)
-
Multimodal preference heterogeneity in choice-based conjoint analysis : a simulation study
Goeken, Nils, (2024)
-
Paetz, Friederike, (2019)
- More ...