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Introducing Monte Carlo Methods with R (Use R!)

Christian P. Robert, George Casella




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 | #349773 in Books |  Robert Christian Casella George |  2009-12-10 |  2009-12-10 | Original language:English | PDF # 1 |  9.00 x.69 x6.25l,.95 | File type: PDF | 284 pages

 | Introducing Monte Carlo Methods with R

||5 of 5 people found the following review helpful.| Good book...not great.|By Public name|A good book if you're already pretty savvy with R, have a general idea of numerical analysis/optimization and are very familiar with graduate level statistics. Otherwise, you best start with another text. This is not meant as an intro to MCMC to anyone who does not have a strong statistical background. This book is lighter on theory than in| ||From the reviews:|“Robert and Casella’s new book uses the programming language R, a favorite amongst (Bayesian) statisticians to introduce in eight chapters both basic and advanced Monte Carlo techniques … . The book could be used as the ba

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 simulation to solve statistical problems. Introducing Monte Carlo Methods with R covers the main tools used in statistical simulation from a programmer's point of view, expla...

You can specify the type of files you want, for your device.Introducing Monte Carlo Methods with R (Use R!)   |  Christian P. Robert, George Casella.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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