Modeling Count Data with Generalized Distributions-Reference-Cited by-同舟云学术

Modeling Count Data with Generalized Distributions

Published:2014-09 Issue:3 Volume:14 Page:562-579
ISSN:1536-867X
Container-title:The Stata Journal: Promoting communications on statistics and Stata
language:en
Short-container-title:The Stata Journal

Author:

Harris Tammy¹,Hilbe Joseph M.²,Hardin James W.³

Affiliation:

1. Institute for Families in Society University of South Carolina Columbia, SC

2. School of Social and Family Dynamics Arizona State University Tempe, AZ

3. Institute for Families in Society Department of Epidemiology and Biostatistics University of South Carolina Columbia, SC

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.

Publisher

SAGE Publications

Subject

Mathematics (miscellaneous)

Link

http://journals.sagepub.com/doi/pdf/10.1177/1536867X1401400306

Reference17 articles.

1. Regression Analysis of Count Data

2. The Generalized Negative Binomial Distribution and its Characterization by Zero Regression

3. Testing for Overdispersion in Poisson and Binomial Regression Models

4. Testing for Zero Inflation in Count Models: Bias Correction for the Vuong Test

5. Generalized Binomial Regression Model

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