A latent class probit model for analyzing pick any/N data
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[1] Jaewun Cho,et al. A stochastic multidimensional scaling vector threshold model for the spatial representation of “pick any/n” data , 1989 .
[2] T. Lwin,et al. Probits of mixtures. , 1989, Biometrics.
[3] Murray Aitkin,et al. Statistical Modelling of Data on Teaching Styles , 1981 .
[4] Paul F. Lazarsfeld,et al. Latent Structure Analysis. , 1969 .
[5] V. Rao,et al. GENFOLD2: A set of models and algorithms for the general UnFOLDing analysis of preference/dominance data , 1984 .
[6] V. Srinivasan,et al. A Simultaneous Approach to Market Segmentation and Market Structuring , 1987 .
[7] Paul E. Green,et al. Consumer Segmentation Via Latent Class Analysis , 1976 .
[8] J. Ramsay. Confidence regions for multidimensional scaling analysis , 1978 .
[9] Roger N. Shepard,et al. Additive clustering: Representation of similarities as combinations of discrete overlapping properties. , 1979 .
[10] Stephen E. Fienberg,et al. The Analysis of Multidimensional Contingency Tables , 1970 .
[11] Wayne S. DeSarbo,et al. A Constrained Unfolding Methodology for Product Positioning , 1986 .
[12] Donna L. Hoffman,et al. Constructing MDS Joint Spaces from Binary Choice Data: A Multidimensional Unfolding Threshold Model for Marketing Research , 1987 .
[13] C. Coombs. A theory of data. , 1965, Psychology Review.
[14] L. A. Goodman. The Analysis of Multidimensional Contingency Tables: Stepwise Procedures and Direct Estimation Methods for Building Models for Multiple Classifications , 1971 .
[15] Geert De Soete,et al. A Latent Class Approach to Modeling Pairwise Preferential Choice Data , 1990 .
[16] John A. Hartigan,et al. Clustering Algorithms , 1975 .
[17] A. Hope. A Simplified Monte Carlo Significance Test Procedure , 1968 .
[18] Gary J. Russell,et al. A Probabilistic Choice Model for Market Segmentation and Elasticity Structure , 1989 .
[19] George B. Macready,et al. Concomitant-Variable Latent-Class Models , 1988 .
[20] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[21] G. McLachlan. On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture , 1987 .
[22] W. DeSarbo,et al. A maximum likelihood methodology for clusterwise linear regression , 1988 .