"Using R to Create Synthetic Discrete Response Regression Models" by Joseph Hilbe

Selected Works of Joseph M Hilbe

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Unpublished Paper

Using R to Create Synthetic Discrete Response Regression Models

(2011)

Joseph Hilbe, Arizona State University

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Abstract

The creation of synthetic models allows a researcher to better understand models as well as the bias that can occur when the assumptions upon which a model is based is violated. This article provides R code that can be used or amended to create a variety of discrete response regression models.

Keywords

synthetic,
pseudorandom,
logistic,
probit,
Poisson,
NB1,
NB2,
NB-C,
proportional odds,
multinomial

Disciplines

Applied Statistics and
Statistical Models

Publication Date

July 3, 2011

Citation Information

Joseph Hilbe. "Using R to Create Synthetic Discrete Response Regression Models" (2011)
Available at: http://works.bepress.com/joseph_hilbe/3/