Back to Results
First PageMeta Content
Econometrics / Categorical data / Psychometrics / CHAID / Latent class model / Multinomial logit / Decision tree learning / Latent variable / Factor analysis / Statistics / Regression analysis / Decision trees


An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables Jay Magidson1 and Jeroen K. Vermunt2 1 2
Add to Reading List

Document Date: 2009-01-30 12:07:07


Open Document

File Size: 314,16 KB

Share Result on Facebook

City

Ann Arbor / Belmont / Concord / Boston / L.A. / /

Company

Cambridge University Press / K. Vermunt2 1 2 Statistical Innovations Inc. / Statistical Innovations Inc. / /

Country

United States / Netherlands / /

Currency

USD / /

Facility

University of Minnesota / Tilburg University / University of Michigan / /

Organization

Cambridge University / University of Michigan / USA Department of Methodology and Statistics / Tilburg University / University of Minnesota / /

Person

Lee / Bush / Kim / /

Position

producer / /

Product

Pentax K-x Digital Camera / /

ProvinceOrState

Minnesota / Massachusetts / Michigan / /

Technology

modified CHAID algorithm / CHAID algorithm / 2 The CHAID algorithm / CHAID Tree-based Segmentation Algorithm / /

SocialTag