Regression models for count data from truncated distributions
James W. Hardin
Institute for Families in Society
Department of Epidemiology and Biostatistics
University of South Carolina
Columbia, SC
[email protected]
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Joseph M. Hilbe
School of Social and Family Dynamics
Arizona State University
Tempe, AZ
[email protected]
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Abstract. We present new commands for analyzing count-data regression models for
truncated distributions. The trncregress command allows specification of
a regression model for the mean of the truncated distribution through options.
In addition to support for truncated Poisson and negative binomial,
trncregress fits models based on truncated versions of distributions
including generalized Poisson, Poisson-inverse Gaussian, three-parameter
negative binomial power, three-parameter Waring negative binomial, and
three-parameter Famoye negative binomial.
View all articles by these authors:
James W. Hardin, Joseph M. Hilbe
View all articles with these keywords:
trncregress, truncation, generalized Poisson, negative binomial, Poisson-inverse Gaussian, Famoye, Waring, PIG, NB-P, NB-F
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