Probability: Theory and Examples
Probability: Theory and Examples
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DOI：
10.2307/2532227
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发表时间：
1993-09
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影响因子：
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通讯作者：
R. Durrett
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文献类型：
--
作者：
R. Durrett
这本书是对概率论的介绍，内容包括大数定律、中心极限定理、随机游动、鞅、马尔可夫链、遍历定理和布朗运动。这是一种全面的治疗方法，专注于对应用程序最有用的结果。它的哲学是，学习概率的最好方法是在行动中看到它，所以有200个例子和450个问题。
This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems.