Statistical Methods for Overdispersed Count Data
- 1 Edición - 19 de noviembre de 2018
- Última edición
- Autor: Jean-Francois Dupuy
- Idioma: Inglés
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… Leer más
Descripción
Descripción
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.
Puntos claves
Puntos claves
- 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
De interès para
De interès para
Índice
Índice
1. A Brief Overview of Linear Models
2. Generalized Linear Models
3. Overdispersion in Count Data
4. Count Data and Zero Inflation
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 19 de noviembre de 2018
- Idioma: Inglés
Sobre el autor
Sobre el autor
JD