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
Forlag
ISTE Press - Elsevier
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