| 书目名称 | Probability Models | | 编辑 | John Haigh | | 视频video | | | 概述 | Takes a new approach - considers probabilistic problems and sets them up in a consistent logical framework to reach convincing answers.Includes a wealth of exercises, all with solutions.Includes a ran | | 丛书名称 | Springer Undergraduate Mathematics Series | | 图书封面 |  | | 描述 | .Probability Models. is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences of probability via dice and cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or particular events arise. Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion. No specific knowledge of the subject is assumed, only a familiarity with the notions of calculus, and the summation of series. Where the full story would call for a deeper mathematical background, the difficulties are noted and appropriate references given. The main topics arise naturally, with definitions and theorems supported by fully worked examples and some 200 set exercises, all with solutions. | | 出版日期 | Textbook 20021st edition | | 关键词 | Conditional probability; First Year; Probability; Probability Theory; Probability distribution; Probabili | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-0169-7 | | isbn_ebook | 978-1-4471-0169-7Series ISSN 1615-2085 Series E-ISSN 2197-4144 | | issn_series | 1615-2085 | | copyright | Springer-Verlag London 2002 |
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发表于 2025-3-21 18:21:54
