概率论和随机过程（第2版） [Theory of Probability and Random Processes] pdf epub mobi txt 电子书 下载 2025

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[美] 凯罗勒夫（Leonid B.Koralov） 著

出版社： 世界图书出版公司

ISBN：9787510044106

版次：2

商品编码：11124548

包装：平装

外文名称：Theory of Probability and Random Processes

开本：24开

出版时间：2012-06-01

用纸：胶版纸

页数：353

正文语种：英文

内容简介

This book is primarily based on a one-year course that has been taught for a number of years at Princeton University to advanced undergraduate and graduate students. During the last year a similar course has also been taught at the University of Maryland.
We would like to express our thanks to Ms. Sophie Lucas and Prof. Rafael Herrera who read the manuscript and suggested many corrections. We are particularly grateful to Prof. Boris Gurevich for making many important sug-gestions on both the mathematical content and style.
While writing this book， L. Koralov was supported by a National Sci-ence Foundation grant （DMS-0405152）. Y. Sinai was supported by a National Science Foundation grant （DMS-0600996）.

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目录

Part Ⅰ Probability Theory
1 Random Variables and Their Distributions
1.1 Spaces of Elementary Outcomes， a-Algebras， and Measures
1.2 Expectation and Variance of Random Variables on a Discrete Probability Space
1.3 Probability of a Union of Events
1.4 Equivalent Formulations of a-Additivity， Borel a-Algebras and Measurability
1.5 Distribution Functions and Densities
1.6 Problems
2 Sequences of Independent Trials
2.1 Law of Large Numbers and Applications
2.2 de Moivre-Laplace Limit Theorem and Applications
2.3 Poisson Limit Theorem.
2.4 Problems
3 Lebesgue Integral and Mathematical Expectation
3.1 Definition of the Lebesgue Integral
3.2 Induced Measures and Distribution Functions
3.3 Types of Measures and Distribution Functions
3.4 Remarks on the Construction of the Lebesgue Measure
3.5 Convergence of Functions， Their Integrals， and the Fubini Theorem
3.6 Signed Measures and the R，adon-Nikodym Theorem
3.7 Lp Spaces
3.8 Monte Carlo Method
3.9 Problems
4 Conditional Probabilities and Independence
4.1 Conditional Probabilities
4.2 Independence of Events， Algebras， and Random Variables
4.3
4.4 Problems
5 Markov Chains with a Finite Number of States
5.1 Stochastic Matrices
5.2 Markov Chains
5.3 Ergodic and Non-Ergodic Markov Chains
5.4 Law of Large Numbers and the Entropy of a Markov Chain
5.5 Products of Positive Matrices
5.6 General Markov Chains and the Doeblin Condition
5.7 Problems
6 Random Walks on the Lattice Zd
6.1 Recurrent and Transient R，andom Walks
6.2 Random Walk on Z and the Refiection Principle
6.3 Arcsine Law
6.4 Gambler's Ruin Problem
6.5 Problems
7 Laws of Larze Numbers
7.1 Definitions， the Borel-Cantelli Lemmas， and the Kolmogorov Inequality
7.2 Kolmogorov Theorems on the Strong Law of Large Numbers
7.3 Problems
8 Weak Converaence of Measures
8.1 Defnition of Weak Convergence
8.2 Weak Convergence and Distribution Functions
8.3 Weak Compactness， Tightness， and the Prokhorov Theorem
8.4 Problems
9 Characteristic Functions
9.1 Definition and Basic Properties
9.2 Characteristic Functions and Weak Convergence
9.3 Gaussian Random Vectors
9.4 Problems
10 Limit Theorems
10.1 Central Limit Theorem， the Lindeberg Condition
10.2 Local Limit Theorem
10.3 Central Limit Theorem and Renormalization GrOUD Theorv
10.4 Probabilities of Large Deviations
……
Part Ⅱ Random Processes
Index

前言/序言

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书中的很多对于产业介绍和机械制图方面的知识很完整，很系统。但是某些部分关于计算机配置的部分稍微落后。同时，部分机械草图有些小错误。但是，基本上对于想挑战自己的机械制图的工程师们来说，是很好的sample.

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好书。简单全面。易有所得。oh yeah

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　　 目次：全书其有四部分，新增加了5章，总共17章。（一）集合论、实数和微积分：集合论；实数体系和微积分。（二）测度、积分和微分：实线上的勒贝格理论；实线上的勒贝格积分；测度和乘积测度的扩展；概率论基础；微分和绝对连续；单测度和复测度。（三）拓扑、度量和正规空间：拓扑、度量和正规空间基本理论；可分离性和紧性；完全空间和紧空间；希尔伯特空间和经典巴拿赫空间；正规空间和局部凸空间。（四）调和分析、动力系统和hausdorff侧都：调和分析基础；可测动力系统；hausdorff测度和分形。

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书是正版，发货速度快

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Gooooooooooooooooooooooood

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这本书覆盖了从入门机械制图工程师/技师所必需知道的关于产业的知识。书中还覆盖了所必需的进阶知识。 《实分析教程(第2版)(英文影印版)》是一部备受专家好评的教科书，书中用现代的方式清晰论述了实分析的概念与理论，定理证明简明易懂，可读性强。在第一版的基础上做了全面修订，有200道例题，练习题由原来的1200道增加到1300习题。本书的写法像一部文学读物，这在数学教科书很少见，因此阅读本书会是一种享受。

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和红红火火恍恍惚惚哈哈

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书不错啊，推荐给大家

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英文影印版，经典之作啊，要好好学习一下了