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3 - Generalizing Regression Inside Out

from Part I - Turning Regression Inside Out

Published online by Cambridge University Press:  21 March 2024

Eric W. Schoon ,
David Melamed  and
Ronald L. Breiger
Eric W. Schoon
Affiliation:
Ohio State University
David Melamed
Affiliation:
Ohio State University
Ronald L. Breiger
Affiliation:
University of Arizona
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Summary

Chapter 3 demonstrates how the mathematics of turning Ordinary Least Squares (OLS) regression inside out can be generalized to Generalized Linear Models (GLM) including logistic, Poisson, negative binomial, random intercept, and fixed effects models.

Keywords

Generalized Linear Model (GLM)logistic regressionPoissonnegative binomialrandom interceptfixed effects
Type
Chapter
Information
Regression Inside Out , pp. 50 - 61
Publisher: Cambridge University Press
Print publication year: 2024

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