Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Back to School Savings: Save up to 30% on print books and eBooks. No promo code needed.
Back to School Savings: Save up to 30%
1st Edition - November 19, 2018
Author: Jean-Francois Dupuy
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… Read more
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
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.
1. A Brief Overview of Linear Models
2. Generalized Linear Models
3. Overdispersion in Count Data
4. Count Data and Zero Inflation
JD