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Response Factors and Logistic Discrimination

  • Ronald Christensen
Part of the Springer Texts in Statistics book series (STS)

Abstract

Frequently, primary interest in a table is centered on one factor which constitutes a response (dependent) variable. The other factors in the table are only of interest for their ability to help explain the response variable. Special kinds of models have been developed to handle these situations. In particular, rather than modeling log expected cell counts or log probabilities (as in log-linear models), when there is a response variable, various log odds related to the response variable are modeled.

Keywords

Logit Model Response Factor Directed Edge Saturated Model Undirected Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1990

Authors and Affiliations

  • Ronald Christensen
    • 1
  1. 1.Department of Mathematics and StatisticsUniversity of New MexicoAlbuquerqueUSA

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