Modeling count data with generalized distributions
Tammy Harris
Institute for Families in Society
University of South Carolina
Columbia, SC
[email protected]
|
Joseph M. Hilbe
School of Social and Family Dynamics
Arizona State University
Tempe, AZ
[email protected]
|
James W. Hardin
Institute for Families in Society
Department of Epidemiology and Biostatistics
University of South Carolina
Columbia, SC
[email protected]
|
Abstract. We present motivation and new commands for modeling count data.
While our focus is to present new commands for estimating count data, we also
discuss generalized binomial regression and present the zero-inflated versions of
each model.
View all articles by these authors:
Tammy Harris, Joseph M. Hilbe, James W. Hardin
View all articles with these keywords:
gbin, zigbin, nbregf, nbregw, zinbregf, zinbregw, binomial, Waring, count data, overdispersion, underdispersion
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
|
