A hierarchical Bayesian multidimensional scaling methodology for accommodating both structural and preference heterogeneity
type: Item
instance of: scholarly article
title: A hierarchical Bayesian multidimensional scaling methodology for accommodating both structural and preference heterogeneity
zbMATH Open document ID: 1301.62123
author: Joonwook Park
author: Wayne S. DeSarbo
author: John C. Liechty
published in: Psychometrika
publication date: 2014-12-10T00:00:00Z
Mathematics Subject Classification ID: 62P15
zbMATH DE Number: 6379125
zbMATH Keywords: Bayesian multidimensional scaling
zbMATH Keywords: structural heterogeneity
zbMATH Keywords: preference heterogeneity
zbMATH Keywords: multidimensional unfolding model
zbMATH Keywords: multidimensional vector model
zbMATH Keywords: pharmaceutical marketing
describes a project that uses: PARAFAC
describes a project that uses: bmds
MaRDI profile type: Publication
full work available at URL: s11336-008-9064-1
OpenAlex ID: W2073026897
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DOI: 10.1007/S11336-008-9064-1
description: scientific article; zbMATH DE number 6379125