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...
| Main Authors: | Robert, Christian (Author), Casella, George (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2010.
|
| Series: | Use R
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Introducing Monte Carlo Methods with R
by: Robert, Christian P., 1961-
Published: (2010) -
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
by: Marin, Jean-Michel, et al.
Published: (2007) -
Explorations in Monte Carlo Methods
by: Shonkwiler, Ronald W., et al.
Published: (2009) -
Bayesian Computation with R
by: Albert, Jim
Published: (2009) -
Elements of Probability and Statistics An Introduction to Probability with de Finetti’s Approach and to Bayesian Statistics /
by: Biagini, Francesca, et al.
Published: (2016)