The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Zero‐Altered and other Regression Models for Count Data with Added Zeros
Abstract
On occasion, generalized linear models for counts based on Poisson or overdispersed count distributions may encounter lack of fit due to disproportionately large frequencies of zeros. Three alternative types of regression models that utilize all the information and explicitly account for excess zeros are examined and given general formulations. A simple mechanism for added zeros is assumed that directly motivates one type of model, here called the added‐zero type, particular forms of which have been proposed independently by D. LAMBERT (1992) and in unpublished work by the author. An original regression formulation (the zero‐altered model) is presented as a reduced form of the two‐part model for count data, which is also discussed. It is suggested that two‐part models be used to aid in development of an added‐zero model when the latter is thought to be appropriate.
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Cites
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
Lambert, D. (1992) · Technometrics · doi:10.2307/1269547 · Cited by 3,988
Cited by
Zero-Inflated Generalized Poisson Regression Model with an Application to Domestic Violence Data
Famoye, F., & Singh, K. P. (2021) · Journal of Data Science · doi:10.6339/jds.2006.04(1).257 · Cited by 266
Metadata
- Authors
- Heilbron, D. C.
- Venue
- Biometrical Journal
- Publisher
- Wiley
- Published
- 1994-01
- Volume
- 36
- Issue
- 5
- Pages
- 531-547
- ISSN
- 0323-3847 (ISSN-L)
- 1521-4036
- OpenAlex
- W2011193557
- Cited by
- 375
- References
- 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Heilbron, D. C. (1994). Zero‐Altered and other Regression Models for Count Data with Added Zeros. Biometrical Journal. https://doi.org/10.1002/bimj.4710360505
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