A Hyper-Poisson Regression Model for Overdispersed and Underdispersed Count Data¶

Sáez-Castillo, A. J., & Conde-Sánchez, A. (2013). A Hyper-Poisson Regression Model for Overdispersed and Underdispersed Count Data. Computational Statistics & Data Analysis, 148-157.

Type: Journal article
Intellectual base: Primary research
Year: 2013
Pages: 148-157
DOI: 10.1016/j.csda.2012.12.009
DOI registrant: Elsevier
Link: https://doi.org/10.1016/j.csda.2012.12.009

Cited by¶

1 citation across 1 artifact.

Domain-specific¶

Displaced Poisson Distribution
- Sáez-Castillo and Conde-Sánchez develop that regression model and explicitly position it against the equal-mean-and-variance restriction of Poisson regression.

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