Overdispersion and Poisson Regression

331 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Zero-inflated and overdispersed: what's one to do? (2013, methodology): “Simulation techniques are the most appropriate methods to accomplish this objective [19] because simulation allows one to vary the model conditions and to know what the values of the true parameters are.”
Count Models in Criminology (2010, methodology): “For criminologists, one wants to know what predicts the number of crime counts assuming the probability of outcomes occurs via a Poisson distribution (Berk and MacDonald 2008).”
Reducing Gang Violence Using Focused Deterrence: Evaluating the Cincinnati Initiative to Reduce Violence (CIRV) (2013, background): “According to Berk and MacDonald (2008), overdispersion in a count distribution is quite complex and that omitted variable bias is most likely the major driving influence that leads to this type of empirical distribution.”