John M. Lachin
Abstract
The prelims comprise: Event Rates and the Homogeneous Poisson Model Over-Dispersed Poisson Model Poisson Regression Model Over-Dispersed and Robust Poisson Regression Power and Sample Size for Poisson Models Conditional Poisson Regression for Matched Sets Problems
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The prelims comprise: Event Rates and the Homogeneous Poisson Model Over-Dispersed Poisson Model Poisson Regression Model Over-Dispersed and Robust Poisson Regression Power and Sample Size for Poisson Models Conditional Poisson Regression for Matched Sets Problems
Key concepts: Poisson regression, Poisson distribution, Count data, Zero-inflated model, Statistics, Quasi-likelihood, Mathematics, Compound Poisson process