How collinearity affects mixture regression results

[1]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[2]  Simon J. Blanchard,et al.  Implementing Managerial Constraints in Model-Based Segmentation: Extensions of Kim, Fong, and DeSarbo (2012) with an Application to Heterogeneous Perceptions of Service Quality , 2013 .

[3]  Rajdeep Grewal,et al.  Environments, unobserved heterogeneity, and the effect of market orientation on outcomes for high-tech firms , 2013 .

[4]  Wayne S. DeSarbo,et al.  Model-Based Segmentation Featuring Simultaneous Segment-Level Variable Selection , 2012 .

[5]  Wynne W. Chin,et al.  When Imprecise Statistical Statements Become Problematic: A Response to Goodhue, Lewis, and Thompson , 2012, MIS Q..

[6]  Mónica Cortiñas,et al.  Understanding multi-channel banking customers , 2010 .

[7]  Rajdeep Grewal,et al.  Customer Satisfaction Heterogeneity and Shareholder Value , 2010 .

[8]  M. Sarstedt,et al.  Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies , 2010 .

[9]  B. Ratchford,et al.  DemoImpact: Modeling, Forecasting and Managing the Impact of Major US Sociodemographic Trends on Multi-Category Snack Consumption , 2010 .

[10]  Rick L. Andrews,et al.  An Empirical Comparison of Methods for Clustering Problems: Are There Benefits from Having a Statistical Model? , 2010 .

[11]  G. Claeskens,et al.  Goodness-of-fit tests in mixed models , 2009 .

[12]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[13]  Min Ding,et al.  Counting chickens before the eggs hatch: Associating new product development portfolios with shareholder expectations in the pharmaceutical sector , 2008 .

[14]  F. Leisch,et al.  FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters , 2008 .

[15]  Marko Sarstedt,et al.  Market segmentation with mixture regression models: Understanding measures that guide model selection , 2008 .

[16]  Rick L. Andrews,et al.  Estimating the SCAN*PRO Model of Store Sales: HB, FM or just OLS? , 2008 .

[17]  Michael Song,et al.  A Heterogeneous Resource Based View for Exploring Relationships between Firm Performance and Capabilities , 2007 .

[18]  E. Thorson,et al.  Uphill or Downhill? Locating the Firm on a Profit Function , 2007 .

[19]  Kamel Jedidi,et al.  A Multibrand Concept‐Testing Methodology for New Product Strategy* , 2007 .

[20]  Sandor Czellar,et al.  Consumer Segments Based on Attitudes Toward Luxury: Empirical Evidence from Twenty Countries , 2005 .

[21]  Joseph A. Cote,et al.  Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing , 2004 .

[22]  Rick L. Andrews,et al.  Retention of latent segments in regression-based marketing models , 2003 .

[23]  Rick L. Andrews,et al.  A Comparison of Segment Retention Criteria for Finite Mixture Logit Models , 2003 .

[24]  Michel Wedel,et al.  Applications of Multivariate Latent Variable Models in Marketing , 2003 .

[25]  Derrick S. Boone,et al.  Evaluating the Appropriateness of Market Segmentation Solutions Using Artificial Neural Networks and the Membership Clustering Criterion , 2002 .

[26]  Rick L. Andrews,et al.  An Empirical Comparison of Logit Choice Models with Discrete versus Continuous Representations of Heterogeneity , 2002 .

[27]  Frank Huber,et al.  Capturing Customer Heterogeneity using a Finite Mixture PLS Approach , 2002 .

[28]  Rick L. Andrews,et al.  Hierarchical Bayes versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery , 2002 .

[29]  D. M. Allen,et al.  Determining the number of components in mixtures of linear models , 2001 .

[30]  J. W. Hutchinson,et al.  Unobserved Heterogeneity as an Alternative Explanation for 'Reversal' Effects in Behavioral Research , 2000 .

[31]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[32]  Christian Hennig,et al.  Identifiablity of Models for Clusterwise Linear Regression , 2000, J. Classif..

[33]  Michel Wedel,et al.  Discrete and Continuous Representations of Unobserved Heterogeneity in Choice Modeling , 1999 .

[34]  M. Wedel,et al.  Market Segmentation: Conceptual and Methodological Foundations , 1997 .

[35]  W. DeSarbo,et al.  Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity , 1997 .

[36]  Charlotte H. Mason,et al.  Collinearity, power, and interpretation of multiple regression analysis. , 1991 .

[37]  W. DeSarbo,et al.  A maximum likelihood methodology for clusterwise linear regression , 1988 .

[38]  André I. Khuri,et al.  Multicollinearity in marketing models: Diagnostics and remedial measures☆ , 1986 .

[39]  J. Hair Multivariate data analysis , 1972 .