
Statistical Methods for Overdispersed Count Data
Jean-Francois Dupuy(Author)
ISTE Press - Elsevier
Published on 21. November 2018
Book
Hardback
192 pages
978-1-78548-266-3 (ISBN)
Description
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.
More details
Language
English
Place of publication
United Kingdom
Target group
Professional and scholarly
Students in statistics, biostatistics, econometrics and professional statisticians with interest in the analysis of count data
Non-statisticians with skills in R softwares (economists, decision-makers in public health.)
Dimensions
Height: 229 mm
Width: 152 mm
Weight
440 gr
ISBN-13
978-1-78548-266-3 (9781785482663)
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Schweitzer Classification
Other editions
Additional editions

Jean-Francois Dupuy
Statistical Methods for Overdispersed Count Data
E-Book
11/2018
Elsevier
€69.95
Available for download
Person
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.
Content
1. A Brief Overview of Linear Models
2. Generalized Linear Models
3. Overdispersion in Count Data
4. Count Data and Zero Inflation
2. Generalized Linear Models
3. Overdispersion in Count Data
4. Count Data and Zero Inflation