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Communities & Collections
Communities & Collections
One-inflation and unobserved heterogeneity in population size estimation by Ryan T. Godwin
Date
2018-07-01
Author
İnan, Gül
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this study, we would like to show that the one-inflated zero-truncated negative binomial (OIZTNB) regression model can be easily implemented in R via built-in functions when we use mean-parameterization feature of negative binomial distribution to build OIZTNB regression model. From the practitioners' point of view, we believe that this approach presents a computationally convenient way for implementation of the OIZTNB regression model.
Subject Keywords
Count data
,
Mean parameterization
,
One-inflation
,
Zero-truncation
URI
https://hdl.handle.net/11511/57273
Journal
BIOMETRICAL JOURNAL
DOI
https://doi.org/10.1002/bimj.201700261
Collections
Department of Statistics, Article