Statistical Methods for Overdispersed Count Data
Seiten
2018
ISTE Press Ltd - Elsevier Inc (Verlag)
978-1-78548-266-3 (ISBN)
ISTE Press Ltd - Elsevier Inc (Verlag)
978-1-78548-266-3 (ISBN)
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.
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.
1. A Brief Overview of Linear Models
2. Generalized Linear Models
3. Overdispersion in Count Data
4. Count Data and Zero Inflation
| Erscheinungsdatum | 05.10.2018 |
|---|---|
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 440 g |
| Themenwelt | Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-78548-266-1 / 1785482661 |
| ISBN-13 | 978-1-78548-266-3 / 9781785482663 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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