The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Generalized poisson regression model
Abstract
The generalized Poisson distribution has been found useful in fitting over-dispersed as well as under-dispersed count data. Since a number of models and methods have been proposed for the regression analysis of count data either with under-dispersion or with over-dispersion, we define and study a generalized Poisson regression (GPR) model which is useful in predicting a response variable affected by one or more covariates. This regression model is suitable for both types of dispersions. The methods of maximum likelihood and moments are given for the estimation of parameters. Approximate tests for the adequacy of the model are considered. Asymptotic tests are given for the significance of regression parameters. The GPR model has been applied to four observed data sets to which other regression models were applied earlier.
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McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836
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
Self-citationModeling underdispersed count data with generalized Poisson regression.
Harris, T., Yang, Z., & Hardin, J. W. (2012) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x1201200412 · Cited by 150
Pachankis, J. E., Harkness, A., Maciejewski, K. R., Behari, K., Clark, K. A., McConocha, E., Winston, R., Adeyinka, O., Reynolds, J., Bränström, R., et al. (2022) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000724 · Cited by 112
Metadata
- Authors
- Consul, P. C., & Famoye, F.
- Venue
- Communications in Statistics - Theory and Methods
- Publisher
- Informa UK Limited
- Published
- 1992-01
- Volume
- 21
- Issue
- 1
- Pages
- 89-109
- ISSN
- 0361-0926 (ISSN-L)
- 1532-415X
- OpenAlex
- W2058390080
- Cited by
- 388
- References
- 1
- FWCI
- 1.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Consul, P. C., & Famoye, F. (1992). Generalized poisson regression model. Communications in Statistics - Theory and Methods. https://doi.org/10.1080/03610929208830766
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