In this book we consider regression models for count dependent variables, i.e., dependent variables that take the values y = 0,1, 2,... without explicit upper limit. Regression analysis, narrowly defined, attempts to explain variations in the conditional expectation of y with the help of variation in explanatory variables x. More broadly defined, regression analysis includes the estimation of conditional distribution functions of y given x.
KeywordsCount Data Poisson Regression Model Markov Chain Monte Carlo Simulation Count Data Model Conditional Distribution Function
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