Mixture model clustering with covariates using adjusted three-step approaches

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2013, Pages 87-94

  Gudicha, Dereje W ^a   Vermunt, Jeroen K ^a  

^a TILBURG UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

LOGISTIC REGRESSION; PATTERN RECOGNITION;

CLASS MEMBERSHIP PROBABILITIES; CLASSIFICATION ERRORS; CLUSTER ASSIGNMENT; EMPIRICAL DISTRIBUTIONS; MULTIDIMENSIONAL INTEGRAL; SIMULATION STUDIES; SMALL SAMPLE SIZE; THREE-STEP APPROACH;

MIXTURES;

EID: 84892566058     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-319-00035-0_8     Document Type: Conference Paper

References (6)

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2. Bolck, A., Croon, M. A., & Hagenaars, J. A. (2004). Estimating latent structural models with categorical variables: one - step versus three-step estimators. Political Analysis, 12, 3-27.
3. Dayton, C. M., & Macready, G. B. (1988). Concomitant-variable latent class models. Journal of the American Statistical Association, 83, 173-178.
4. McLachlan, G., & Peel, D. (2000). Finite mixture models. New York: John Wiley.
5. Vermunt, J. K.(2010). Latent class modeling with covariates: two improved three-step approaches. Political Analysis, 18, 450-469.
6. Vermunt, J. K., & Magidson, J. (2005). Latent GOLD 4.0 user's guide. Belmont: Statistical Innovations Inc.