0
Your cart
![]() |
![]() |
Your cart is empty |
||
Showing 1 - 1 of 1 matches in All Departments
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.
|
![]() ![]() You may like...
Eight Days In July - Inside The Zuma…
Qaanitah Hunter, Kaveel Singh, …
Paperback
![]()
Extremisms In Africa
Alain Tschudin, Stephen Buchanan-Clarke, …
Paperback
![]()
|