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New York: Springer Etc, 2010. Soft cover. Fine. 8vo - over 7¾" - 9¾" tall. xv 283 pages. Apart from minor shelf wear the book appears untouched. '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, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison. While this book constitutes a comprehensive treatment of simulation methods, the theoretical justification of those methods has been considerably reduced, compared with Robert and Casella (2004). Similarly, the more exploratory and less stable solutions are not covered here. This…
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Springer Science & Business Media, 2010. Paperback. Acceptable. Acceptable condition. There is some light water damage to the bottom corner of the first pages, with light staining to the front matter and just crinkling to the following pages. There are also some light scuffs to the edges and corners of the cover with a bend to the front cover and some creasing. There are marks to the page edges as well as to the inside front cover, but otherwise in good condition.
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