Statistical Methods for Overdispersed Count Data

Jean-Francois Dupuy (INSA Rennes, France)

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English

ISTE Press Ltd - Elsevier Inc
21 November 2018

Biotechnology industries; Personal & public health; Biotechnology

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.

By: Jean-Francois Dupuy (INSA Rennes France)
Imprint: ISTE Press Ltd - Elsevier Inc
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
Weight: 440g
ISBN: 9781785482663
ISBN 10: 1785482661
Pages: 192
Publication Date: 21 November 2018
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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

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.