Statistical Methods for Overdispersed Count Data (ePub)
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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
- Autor: Jean-Francois Dupuy
- 2018, 192 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 008102374X
- ISBN-13: 9780081023747
- Erscheinungsdatum: 19.11.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 8.27 MB
- Mit Kopierschutz
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