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Modeling count data with generalized distributions

delete2014-09-01
delete22
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OA
AI
T
Tammy Harris *
J
Joseph M. Hilbe
J
James W. Hardin
DOI:10.1177/1536867X1401400306delete
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Abstract

Abstract

En 中文
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.
Keywords:
st0351
gbin
zigbin
nbregf
nbregw
zinbregf
zinbregw
binomial
Waring
count data
overdispersion
underdispersion
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Journal

S
Stata Journal
IF:
2.4
Papers:
1.2K
Citations:
8.4K

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A
Arizona State University
Scholars:
2.7W
Papers: 2.5W
Citations: 4.2W
U
university of south carolina columbia
Scholars:
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Citations: 7
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University of South Carolina System
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