Latent class metric conjoint analysis

[1]  M. Wedel,et al.  A Clusterwise Regression Method for Simultaneous Fuzzy Market Structuring and Benefit Segmentation , 1991 .

[2]  Paul E. Green,et al.  Segmenting Markets with Conjoint Analysis , 1991 .

[3]  W. DeSarbo,et al.  Simultaneous multidimensional unfolding and cluster analysis: An investigation of strategic groups , 1991 .

[4]  W. DeSarbo,et al.  Multiclus: A new method for simultaneously performing multidimensional scaling and cluster analysis , 1991 .

[5]  Paul E. Green,et al.  Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice , 1990 .

[6]  Paul E. Green,et al.  Conjoint Analysis in Marketing Research: New Developments and Directions , 1990 .

[7]  Wayne S. DeSarbo,et al.  A simulated annealing methodology for clusterwise linear regression , 1989 .

[8]  M. Wedel,et al.  Consumer benefit segmentation using clusterwise linear regression , 1989 .

[9]  Paul E. Green,et al.  Cross-Validation Assessment of Alternatives to Individual-Level Conjoint Analysis: A Case Study , 1989 .

[10]  Philippe Cattin,et al.  Commercial Use of Conjoint Analysis: An Update , 1989 .

[11]  M. Wedel,et al.  A fuzzy clusterwise regression approach to benefit segmentation , 1989 .

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

[13]  W. Kamakura.  A Least Squares Procedure for Benefit Segmentation with Conjoint Experiments , 1988 .

[14]  D. Roberts,et al.  The statistical program SYSTAT : Wilkinson, L. (1986). SYSTAT, The System for Statistics. SYSTAT, Inc. 2902 Central Street, Evanston, IL 60201. , 1987 .

[15]  H. Bozdogan.  Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .

[16]  Kohsuke Ogawa,et al.  An Approach to Simultaneous Estimation and Segmentation in Conjoint Analysis , 1987 .

[17]  A. F. Smith,et al.  Statistical analysis of finite mixture distributions , 1986 .

[18]  D. Hand.  Cluster dissection and analysis: Helmuth SPATH Wiley, Chichester, 1985, 226 pages, £25.00 , 1986 .

[19]  Michael R. Hagerty,et al.  Improving the Predictive Power of Conjoint Analysis: The use of Factor Analysis and Cluster Analysis , 1985 .

[20]  H. Spath.  The Cluster Dissection and Analysis Theory FORTRAN Programs Examples , 1985 .

[21]  H. Spath.  Cluster Dissection and Analysis , 1985 .

[22]  Paul E. Green,et al.  Hybrid Models for Conjoint Analysis: An Expository Review , 1984 .

[23]  D. Wittink,et al.  Commercial Use of Conjoint Analysis: A Survey , 1982 .

[24]  David Stewart,et al.  The Application and Misapplication of Factor Analysis in Marketing Research , 1981 .

[25]  William L. Moore,et al.  Levels of Aggregation in Conjoint Analysis: An Empirical Comparison , 1980 .

[26]  A. Rao.  Quantity Discounts in Today's Markets , 1980 .

[27]  P. Green,et al.  Conjoint Analysis in Consumer Research: Issues and Outlook , 1978 .

[28]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[29]  Paul E. Green,et al.  A new approach to market segmentation , 1977 .

[30]  J. Hartigan.  Clustering Algorithms , 1975 .

[31]  H. Akaike.  A new look at the statistical model identification , 1974 .

[32]  S. Addelman.  Orthogonal Main-Effect Plans for Asymmetrical Factorial Experiments , 1962 .