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Statistical Methods for Overdispersed Count Data

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Statistical Methods for Overdispersed Count Data

Jean-Francois Dupuy

Iste Press - Elsevier
Publication date : 2018-11-19

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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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About the book

Author

Jean-Francois Dupuy

Imprint

Iste Press - Elsevier

Collection

n.c

Publication date

2018-11-19

Pages

192 pages

Print ISBN

9781785482663

Language

English

Ebook informations

EAN EPUB DRM-FREE

9780081023747

Price

£65.36

Informations accessibility

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About author(s)

Jean-Francois Dupuy

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.

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