| 書目名稱 | Probability: A Graduate Course |
| 編輯 | Allan Gut |
| 視頻video | http://file.papertrans.cn/757/756993/756993.mp4 |
| 概述 | Covers probability from a very applied perspective.Many exercises involve mathematical modeling of random phenomena in very practical fields, including insurance/actuarial and the life sciences/biomed |
| 叢書名稱 | Springer Texts in Statistics |
| 圖書封面 |  |
| 描述 | .Like its predecessor, this book starts from the premise that, rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by a thorough treatment of the three main subjects in probability theory: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. The new edition is comprehensively updated, including some new material as well as around a dozen new references.. |
| 出版日期 | Textbook 2013Latest edition |
| 關(guān)鍵詞 | Central Limit Theorem; Convergence; Law of Large Numbers; Law of the Iterated Logarithm; Martingales |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-1-4614-4708-5 |
| isbn_softcover | 978-1-4899-9755-5 |
| isbn_ebook | 978-1-4614-4708-5Series ISSN 1431-875X Series E-ISSN 2197-4136 |
| issn_series | 1431-875X |
| copyright | Springer Science+Business Media New York 2013 |
|Archiver|手機(jī)版|小黑屋|
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