Statistical Methods for Overdispersed Count Data

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Éditeur :

Iste Press - Elsevier


Paru le : 2018-11-19

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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. - 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
Pages
192 pages
Collection
n.c
Parution
2018-11-19
Marque
Iste Press - Elsevier
EAN papier
9781785482663
EAN EPUB SANS DRM
9780081023747

Informations sur l'ebook
Prix
73,80 €

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