| 书目名称 | Computational Probability |
| 副标题 | Algorithms and Appli |
| 编辑 | John H. Drew,Diane L. Evans,Lawrence M. Leemis |
| 视频video | |
| 概述 | This is an expository monograph with a downloadable modeling language, APPL, that will be used across the Applied Sciences domains including OR/MS, Applied Probability, Engineering, Statistics, Econom |
| 丛书名称 | International Series in Operations Research & Management Science |
| 图书封面 |  |
| 描述 | .Computational probability is a set of stochastic methods that has emerged over the past decade that allow researchers and students to solve problems that require exact probability calculations previously considered arduous or intractable...Computational Probability is the first book that examines and organizes these computational methods into a systematic treatment. The book is structured around the two categories of problems: (1) “Algorithms for Continuous Random Variables” has chapters on data structures and algorithms, transformations of random variables, and products of independent random variables. (2) “Algorithms for Discrete Random Variables” includes data structures and algorithms, sums of independent random variables, and order statistics. The book includes three chapters that emphasize survival analysis and simulation applications. The APPL computational modeling language that gives probabilists a strong software resource for non-trivial problems is available at www.APPLsoftware.com.. |
| 出版日期 | Book 20081st edition |
| 关键词 | APPL; Maple; Random variable; Simulation; Survival analysis; Transformation; algorithm; algorithms; calculus |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-74676-0 |
| isbn_ebook | 978-0-387-74676-0Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
| issn_series | 0884-8289 |
| copyright | Springer-Verlag US 2008 |
发表于 2025-3-21 18:41:04
