S6E18 Count Variables
Quantitude
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Understanding Poisson Distribution in GLMs
This chapter explores the Poisson distribution within generalized linear models (GLMs), focusing on its application to count data, particularly those near zero. It highlights the significance of distribution selection, the equidispersion property, and challenges in interpreting regression coefficients. The chapter also humorously acknowledges the contributions of mathematician Poisson while addressing the complexities of logistic regression and the transformational interpretation of model coefficients.
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