학술논문
Regression models for count data from truncated distributions.
Document Type
Article
Author
Source
Subject
*REGRESSION analysis
*POISSON distribution
*NEGATIVE binomial distribution
*PROBABILITY theory
*MATHEMATICAL models
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Language
ISSN
1536-867X
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, threeparameter Waring negative binomial, and three-parameter Famoye negative binomial. [ABSTRACT FROM AUTHOR]