Chapter 5 Non-spatial tree models for the assessment of competitive market structure: An integrated review of the marketing and psychometric literature. - Wayne S. DeSarbo; Ajay K. Manrai; Lalita A. Manrai (Marketing, 1993)

A Bayesian approach to the spatial representation of market structure from consumer choice data. - Wayne S. DeSarbo; Youngchan Kim; Michel Wedel; Duncan K. H. Fong (Eur. J. Oper. Res., 1998)

An Efficient Branch and Bound Procedure for Restricted Principal Components Analysis. - Wayne S. DeSarbo; Robert E. Hausman (Data Analysis and Decision Support, 2005)

Identifying Sources of Heterogeneity for Empirically Deriving Strategic Types: A Constrained Finite-Mixture Structural-Equation Methodology. - Wayne S. DeSarbo; C. Anthony Di Benedetto; Kamel Jedidi; Michael Song (Manag. Sci., 2006)

Strategic Capabilities and Radical Innovation: An Empirical Study in Three Countries. - C. Anthony Di Benedetto; Wayne S. DeSarbo; Michael Song (IEEE Trans. Engineering Management, 2008)

A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences. - Wayne S. DeSarbo; A. Selin Atalay; Simon J. Blanchard (Comput. Stat. Data Anal., 2009)

A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions. - Eelco Kappe; Ashley Stadler Blank; Wayne S. DeSarbo (Manag. Sci., 2014)

The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology. - Sunghoon Kim; Ashley Stadler Blank; Wayne S. DeSarbo; Jeroen K. Vermunt (J. Classif., 2022)

Erratum to: The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology. - Sunghoon Kim; Ashley Stadler Blank; Wayne S. DeSarbo; Jeroen K. Vermunt (J. Classif., 2022)