On Extending Bock’s Model of Logistic Regression in the Analysis of Categorical Data

Bruce Levin, Patrick E. Shrout

Research output: Contribution to journalArticle

Abstract

A general class of multiple logistic regression models is reviewed and an extension is proposed which leads to restricted maximum likelihood estimates of model parameters. Examples of the general model are given, with an emphasis placed on the interpretation of the parameters in each case.

Original languageEnglish (US)
Pages (from-to)125-147
Number of pages23
JournalCommunications in Statistics - Theory and Methods
Volume10
Issue number2
DOIs
StatePublished - Jan 1 1981

Fingerprint

Nominal or categorical data
Logistic Regression
Restricted Maximum Likelihood
Logistic Regression Model
Multiple Regression
Maximum Likelihood Estimate
Model
Class
Interpretation

Keywords

  • exponential families of distributions
  • parameter interpretation
  • restricted miximum likelihood estimates

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

On Extending Bock’s Model of Logistic Regression in the Analysis of Categorical Data. / Levin, Bruce; Shrout, Patrick E.

In: Communications in Statistics - Theory and Methods, Vol. 10, No. 2, 01.01.1981, p. 125-147.

Research output: Contribution to journalArticle

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