An extension of the CHAID tree-based segmentation algorithm to multiple dependent variables

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2005, Pages 176-183

  Magidson, Jay ^a   Vermunt, Jeroen K ^b  

^a Statistical Innovations   (United States)

^b TILBURG UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TREES; DEPENDENT VARIABLES; DISCRETE CHOICE EXPERIMENTS; EFFECTIVE APPROACHES; HYBRID METHODOLOGIES; LATENT CLASS MODEL; MULTIPLE CRITERIA; SEGMENTATION ALGORITHMS;

TREES (MATHEMATICS);

EID: 84879524906     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-28084-7_18     Document Type: Conference Paper

References (10)

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10. VERMUNT, J. K. and MAGIDSON, J. (2005): Latent GOLD 4.0 User Manual. Statistical Innovations Inc, Belmont MA.