| 书目名称 | Essentials of Monte Carlo Simulation | | 副标题 | Statistical Methods | | 编辑 | Nick T. Thomopoulos | | 视频video | | | 概述 | Offers a "fundamentals" approach to developing Monte Carlo computer simulations.Illustrates the best ways to select input distributions and parameters with or without sample data.Author has published | | 图书封面 |  | | 描述 | .Essentials of Monte Carlo Simulation .focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system of interest and constructs using computer code, as well as algorithmic models to emulate how the system works internally. After the models are run several times, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. This book features 11 comprehensive chapters, and discusses such key topics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrate useful real world applications. The text also contains an easy to read presentation with minimal use of difficult mathematical concepts. Very little has been published in the area of computer Monte Carlo simulation methods, and this book will appeal to students and researchers in the fields of Mathematics and Statistics. . | | 出版日期 | Book 2013 | | 关键词 | Monte Carlo Simulations; Multivariate Random Variates; Random Number Generators; Simulation Models; Stat | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-6022-0 | | isbn_softcover | 978-1-4899-8608-5 | | isbn_ebook | 978-1-4614-6022-0 | | copyright | Springer Science+Business Media New York 2013 |
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发表于 2025-3-21 17:04:01
