Statistical Methods for Overdispersed Count Data (e-bog) af Dupuy, Jean-Francois
Dupuy, Jean-Francois (forfatter)

Statistical Methods for Overdispersed Count Data e-bog

656,09 DKK (inkl. moms 820,11 DKK)
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 metho...
E-bog 656,09 DKK
Forfattere Dupuy, Jean-Francois (forfatter)
Udgivet 19 november 2018
Længde 192 sider
Genrer TCB
Sprog English
Format epub
Beskyttelse LCP
ISBN 9780081023747
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