| 书目名称 | Fundamentals of Probability: A First Course | | 编辑 | Anirban DasGupta | | 视频video | | | 概述 | Includes supplementary material: .Request lecturer material: | | 丛书名称 | Springer Texts in Statistics | | 图书封面 |  | | 描述 | Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty-?rst century, as dif?cult new problems emerge, that will require more sophisticated models and analysis. Thisisa text onthe fundamentalsof thetheoryofprobabilityat anundergraduate or ?rst-year graduate level for students in science, engineering,and economics. The only mathematical background required is knowledge of univariate and multiva- ate calculus and basic linear algebra. The book covers all of the standard topics in basic probability, such as combinatorial probability, discrete and continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional distributions of discrete and continuous random variab | | 出版日期 | Textbook 2010 | | 关键词 | Conditional probability; Markov chain; Normal distribution; Probability theory; Random variable; statisti | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-5780-1 | | isbn_softcover | 978-1-4614-2581-6 | | isbn_ebook | 978-1-4419-5780-1Series ISSN 1431-875X Series E-ISSN 2197-4136 | | issn_series | 1431-875X | | copyright | Springer Science+Business Media, LLC 2010 |
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发表于 2025-3-21 16:39:33
