1. This assignment focuses on the architecture of the Poisson, Negative Binomial, Zero-Inflated Poisson and Zero-Inflated...

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1. This assignment focuses on the architecture of the Poisson,Negative Binomial, Zero-Inflated Poisson and Zero-Inflated NegativeBinomial regression models.
A. In which context Poisson regression can be employed, pleaseprovide some examples?
B. What is the main difference between the Poisson regressionmodel and the Negative Binomial regression model? Pleaseexplain.
C. Why is it important to use Zero-Inflated models such as theZero-Inflation Poisson regression model or the Zero-InflatedNegative Binomial regression model in the first place?
D. What is the specific contribution of the Vuong test into thecount outcomes regression analysis? Be specific.

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A In which context Poisson regression can be employed please provide some examples Poisson regression Poisson regression is often used for modeling count data Poisson regression has a number of extensions useful for count models Poisson Regression models are best used for modeling events where the outcomes are counts Example For instance of events such as the arrival of a customer in particular shop The events must be independent in the sense that the arrival of one customer will not make another more or less likely but the probability per unit time of events is understood to be related to covariates such as time of day ie more number of customer will arrive in evening time and may be less customer in afternnon time For such case Poisson Regression models is appropriate ie to predict number of arrival of customers B What is the main difference between the Poisson regression model and the Negative Binomial regression See Answer

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