Abstract
•Evaluate the results of statistical tests concerning count-data models.•Differentiate the negative binomial regression models from the Poisson models.•Understand the concept of overdispersion in the data, and implement the test for identification of overdispersion in the data of the dependent variable, conditioned on its predictor variables (covariates).•Estimate zero-inflated regression models, and implement the Vuong test to verify the existence of excessive amount of zeros in the dependent variable.•Estimate count-data regression models in R and interpret the results.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Data Science, Analytics and Machine Learning with R
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
