Premium
Modeling Categorical Data with Chi Square Automatic Interaction Detection and Correspondence Analysis
Author(s) -
Clark W.A.V.,
Deurloo M. C.,
Dieleman F. M.
Publication year - 1991
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.1538-4632.1991.tb00243.x
Subject(s) - categorical variable , chaid , correspondence analysis , multiple correspondence analysis , computer science , position (finance) , data mining , statistics , econometrics , mathematics , decision tree , machine learning , economics , finance
For the past decade we have been concerned with the application of categorical data techniques to mobility and housing choice. In a previous issue of this journal we reviewed a number of these modeling techniques. We now extend that earlier work by introducing correspondence analysis as a geometric interpretative technique that fits in an intermediate position between CHAID and nested logit analysis. The method is illustrated on the same housing and tenure choice data as was used in the previous paper.