+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Statistical Methods for Overdispersed Count Data

  • ID: 4430074
  • Book
  • 192 Pages
  • Elsevier Science and Technology
1 of 3

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.

  • Includes reading on several levels, including methodology and applications
  • Presents the state-of-the-art on the most recent zero-inflated regression models
  • Contains a single dataset that is used as a common thread for illustrating all methodologies
  • Includes R code that allows the reader to apply methodologies

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Note: Product cover images may vary from those shown
2 of 3

1. A Brief Overview of Linear Models 2. Generalized Linear Models 3. Overdispersion in Count Data 4. Count Data and Zero Inflation

Note: Product cover images may vary from those shown
3 of 3

Loading
LOADING...

4 of 3
Dupuy, Jean-Francois
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.
Note: Product cover images may vary from those shown
Order Online - visit: https://www.researchandmarkets.com/reports/4430074
Adroll
adroll