Statistical Methods for Overdispersed Count Data is popular PDF and ePub book, written by Jean-Francois Dupuy in 2018-11-19, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Statistical Methods for Overdispersed Count Data can be Read Online from any device for your convenience.
Statistical Methods for Overdispersed Count Data Book PDF Summary
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
Detail Book of Statistical Methods for Overdispersed Count Data PDF
- Author : Jean-Francois Dupuy
- Release : 19 November 2018
- Publisher : Elsevier
- ISBN : 9780081023747
- Genre : Medical
- Total Page : 194 pages
- Language : English
- PDF File Size : 8,7 Mb
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