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Comparison of Poisson and Quasi-Poisson Regression: A Simulation study
2021
ICSA - International Conference on Statistics and Analytics 2019
Poisson regression is often used to model count data. However, it requires the assumption of equidispersion which not always met in the real application data. Quasi-Poisson can be considered as an alternative to handle this problem. The objective of this essay is to explain about the Quasi-Poisson regression, the likelihood construction, parameter estimation, and its implementation in real life data. The numerical method used in this study is Newton-Raphson which is equivalent to Iterative
doi:10.29244/icsa.2019.pp1-7
fatcat:fnk7ahrixvbyfj5xxfpsep6f44