Statistical Methods for Overdispersed Count Data EPUB
by Jean-Francois Dupuy
EPUB
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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
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- Format:EPUB
- Pages:192 pages
- Publisher:Elsevier Science
- Publication Date:19/11/2018
- Category:
- ISBN:9780081023747
Information
-
Download Now
- Format:EPUB
- Pages:192 pages
- Publisher:Elsevier Science
- Publication Date:19/11/2018
- Category:
- ISBN:9780081023747