Statistical Methods for Overdispersed Count Data provides a review of the most recent methods and models for such data, including a description of R functions and packages that allow their implementation. All methods are illustrated on datasets arising in the field of health economics. As several tools have been developed to tackle over-dispersed and zero-inflated data (such as adjustment methods and zero-inflated models), this book covers the topic in a comprehensive and interesting manner.

About the Author
Jean-Francois Dupuy is a Professor at the INSA Rennes since 2011. From 2009 to 2011, he was a Professor at the University La Rochelle in France. In 2002 he obtained a PhD in Applied Mathematics from the University Paris-Descartes.


Book Information
ISBN 9781785482663
Author Jean-Francois Dupuy
Format Hardback
Page Count 192
Imprint ISTE Press Ltd - Elsevier Inc
Publisher ISTE Press Ltd - Elsevier Inc
Weight(grams) 440g