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Probability and Stochastic Modeling Vladimir I. Rotar 第1 版
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Probability and Stochastic Modeling
Vladimir I. Rotar
Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability texts, the book also focuses on increasingly important areas, such as martingales, classification of dependency structures, and risk evaluation. Numerous examples, exercises, and models using real-world data demonstrate the practical possibilities and restrictions of different approaches and help students grasp general concepts and theoretical results. The text is suitable for majors in mathematics and statistics as well as majors in computer science, economics, finance, and physics. The author offers two explicit options to teaching the material, which is reflected in "routes" designated by special "roadside" markers. The first route contains basic, self-contained material for a one-semester course. The second provides a more complete exposition for a two-semester course or self-study.
508 pages
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2019年9月23日 |
| ISBN13 | 9780367380946 |
| 出版社 | Taylor & Francis Ltd |
| ページ数 | 508 |
| 寸法 | 150 × 220 × 10 mm · 861 g |
| 言語 | 英語 |
