Statistical Methods for Overdispersed Count Data

Erscheinungsjahr 2018
ISBN: 978-1-78548-266-3
Verlag: ISTE Press Ltd - Elsevier Inc

Buch, Englisch, 192 Seiten, Format (B × H): 235 mm x 159 mm, Gewicht: 432 g

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.

Zielgruppe

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.)

Autoren/Hrsg.

Dupuy, Jean-Francois (INSA Rennes, France)

Dupuy, Jean-Francois

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie

Inhaltsverzeichnis

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

Über Autor(innen)

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.