Statistical Methods for Overdispersed Count Data

Written By Jean-Francois Dupuy
Statistical Methods for Overdispersed Count Data
  • Publsiher : Elsevier
  • Release : 19 November 2018
  • ISBN : 008102374X
  • Pages : 192 pages
  • Rating : /5 from reviews
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Download or read book entitled Statistical Methods for Overdispersed Count Data by author: Jean-Francois Dupuy which was release on 19 November 2018 and published by Elsevier with total page 192 pages . This book available in PDF, EPUB and Kindle Format. 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

Statistical Methods for Overdispersed Count Data

Statistical Methods for Overdispersed Count Data
  • Author : Jean-Francois Dupuy
  • Publisher : Elsevier
  • Release Date : 2018-11-19
  • Total pages : 192
  • ISBN : 008102374X
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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 ...

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