Introducing Monte Carlo Methods with R
Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simula...
Call Number: | Libro Electrónico |
---|---|
Main Authors: | Robert, Christian (Author), Casella, George (Author) |
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2010.
|
Edition: | 1st ed. 2010. |
Series: | Use R!,
|
Subjects: | |
Online Access: | Texto Completo |
Similar Items
-
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
by: Marin, Jean-Michel, et al.
Published: (2007) -
Bayesian Computation with R
by: Albert, Jim
Published: (2009) -
Data Manipulation with R
by: Spector, Phil
Published: (2008) -
Dependence in Probability and Statistics
Published: (2010) -
Basic Probability Theory with Applications
by: Lefebvre, Mario
Published: (2009)