Jean-Francois Dupuy

Statistical Methods for Overdispersed Count Data (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 192
• Erscheinungstermin: 19. November 2018
• Englisch
• ISBN-13: 9780081023747
• Artikelnr.: 50473765

Autorenporträt

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.

Inhaltsangabe

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