This comprehensive guide to simulation methods with explicit recommendations of methods and algorithms covers both the technical aspects of the subject, such as the generation of random numbers, non-uniform random variates and stochastic processes, and the use of simulation. Supported by the relevant mathematical theory, the text contains a great deal of unpublished research material, including coverage of the analysis of shift-register generators, sensitivity analysis of normal variate generators, analysis of simulation output, and more. Also included is a selection of computer programs.
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". . .this is a very competently written and useful addition to the statistical literature; a book every statistician should look at and that many should study!"
Short Book Reviews, International Statistical Institute
". . .reading this book was an enjoyable learning experience. The suggestions and recommendations on the methods [make] this book an excellent reference for anyone interested in simulation. With its compact structure and good coverage of material, it [is] an excellent textbook for a simulation course."
Technometrics
". . .this work is an excellent comprehensive guide to simulation methods, written by a very competent author. It is especially recommended for those users of simulation methods who want more than a ′cook book′. "
Mathematics Abstracts
This book is a comprehensive guide to simulation methods with explicit recommendations of methods and algorithms. It covers both the technical aspects of the subject, such as the generation of random numbers, non–uniform random variates and stochastic processes, and the use of simulation. Supported by the relevant mathematical theory, the text contains a great deal of unpublished research material, including coverage of the analysis of shift–register generators, sensitivity analysis of normal variate generators, analysis of simulation output, and more.
BRIAN D. RIPLEY, PhD, is Professor of Applied Statistics at University of Oxford. He is a Fellow of the Institute of Mathematical Statistics and the Royal Society of Edinburgh and is also a member of the International Statistical Institute. He is the author of Spatial Statistics, which was published by Wiley in 1981.
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tapa dura. Etat : Bien. Digital computer simulation., Stochastic processes., Digital computer simulation, Computer simulation., Computer simulation., Digital computer simulation., Stochastic processes., processus stochastique., simulation., Simulation par ordinateur., Processus stochastiques., simulation., Stochastische processen., Computersimulaties., Simulation par ordinateur., Processus stochastiques., REFERENCE - Research., Stochastic processes, Stochastic processes - Computer programs., Simulation methods., Computer simulation., Mathematical statistics - Computer simulation., Statistical Methods, Simulations - Applications of computer systems - Techniques, Electronic books., Illustrated New York. 24cm. xi,237p : ill. Encuadernación en tapa dura de editorial con sobrecubierta ilustrada. Idioma Inglés. Wiley series in probability and mathematical statistics. Applied probability and statistics. Text on lining papers. Bibliography: p200-214. - Includes index. Also issued online. Electronic reproduction. New York : John Wiley & Sons, Inc. , Â 2022. Available in PDF format. Description based on contents viewed 15 August 2022. Mode of access: World Wide Web. English. Description based on online resource; title from title page (Safari, viewed Sept. 9, 2013). Print version:: Ripley, Brian D. , 1952- Stochastic simulation. New York : Wiley, 1987 ISBN: 0471818844 ISBN: 9780471818847 Local: (DLC) 86015728 Local: (OCoLC)13822487. Contents Stochastic Simulation; Contents; 1. Aims of Simulation; 2. Pseudo-Random Numbers; 3. Random Variables; 4. Stochastic Models; 5. Variance Reduction; 6. Output Analysis; 7. Uses of Simulation; References; Appendix A. Computer Systems; Appendix B. Computer Programs; Index . ISBN: 0471818844 (=2940165=) LS168. N° de réf. du vendeur 2940165
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