随机过程探究 [Adventures in Stochastic Processes] pdf epub mobi txt 电子书 下载 2025

简体网页||繁体网页

☆☆☆☆☆

雷斯尼克 编

承接 住宅 自建房 室内改造 装修设计 免费咨询 QQ：624617358 一级注册建筑师 亲自为您回答、经验丰富，价格亲民。无论项目大小，都全力服务。期待合作，欢迎咨询！QQ：624617358

出版社： 世界图书出版公司

ISBN：9787510029721

版次：1

商品编码：10859130

包装：平装

外文名称：Adventures in Stochastic Processes

开本：24开

出版时间：2011-01-01

页数：626

正文语种：英文

内容简介

随机过程是建立各种类型的大量随机变量现象模型的必要依据，作为应用概率方向的一个工具，书中将离散空间，Markov链，更新理论，点过程，分支过程，随机游程，Brownian运动，这些论题都是生动地展现给读者。《随机过程探究》表述灵活，大量的例子，练习和应用，并有的计算机程序作支持，使得内容的立体感增强，易于理解，可以作为应用科学领域不同层次水平学生的对随机过程的入门教程。每章末附有大量的补充练习。

目录

Preface
CHAPTER 1.PRELIMINARIES" DISCRETE INDEX SETS AND/OR DISCRETE STATE SPACES
1.1.Non-negative integer valued random variables
1.2.Convolution
1.3.Generating functions
1.3.1.Differentiation of generating functions
1.3.2.Generating functions and moments
1.3.3.Generating functions and convolution
1.3.4.Generating functions， compounding and random sums
1.4.The simple branching process
1.5.Limit distributions and the continuity theorem
1.5.1.The law of rare events
1.6.The simple random walk
1.7.The distribution of a process*
1.8.Stopping times*
1.8.1.Wald's identity
1.8.2.Splitting an iid sequence at a stopping time
Exercises for Chapter 1

CHAPTER 2.MARKOV CHAINS
2.1.Construction and first properties
2.2.Examples
2.3.Higher order transition probabilities
2.4.Decomposition of the state space
2.5.The dissection principle
2.6.Transience and recurrence
2.7.Periodicity
2.8.Solidarity properties
2.9.Examples
2.10.Canonical decomposition
2.11.Absorption probabilities
2.12.Invariant measures and stationary distributions
2.12.1.Time averages
2.13.Limit distributions
2.13.1 More on null recurrence and transience*
2.14.Computation of the stationary distribution
2.15.Classification techniques
Exercises for Chapter 2

CHAPTER 3.RENEWAL THEORY
3.1.Basics
3.2.Analytic interlude
3.2.1.Integration
3.2.2.Convolution
3.2.3.Laplace transforms
3.3.Counting renewals
3.4.Renewal reward processes
3.5.The renewal equation
3.5.1.Risk processes*
3.6.The Poisson process as a renewal process
3.7.Informal discussion of renewal limit theorems; regenerative processes
3.7.1 An informal discussion of regenerative processes
3.8.Discrete renewal theory
3，9.Stationary renewal processes* .
3.10.Blackwell and key renewal theorems* .
3.10.1.Direct Riemann integrability*
3.10.2.Equivalent forms of the renewal theorems*
3.10.3.Proof of the renewal theorem*
3.11.Improper renewal equations
3.12.More regenerative processes*
3.12.1.Definitions and examples*
3.12.2.The renewal equation and Smith's theorem*
3.12.3.Queueing examples
Exercises for Chapter 3

CHAPTER 4.POINT PROCESSES
4.1.Basics
4.2.The Poisson process
4.3.Transforming Poisson processes
4.3.1.Max-stable and stable random variables*
4.4.More transformation theory; marking and thinning
4.5.The order statistic property
4.6.Variants of the Poisson process
4.7.Technical basics*
4.7.1.The Laplace functional*
4.8.More on the Poisson process*
4.9.A general construction of the Poisson process; a simple derivation of the order statistic property*
4.10.More transformation theory; location dependent thinning*
4.11.Records*
Exercises for Chapter 4

CHAPTER 5.CONTINUOUS TIME MARKOV CHAINS
5.1.Defiuitions and construction
5.2.Stability and explosions
5.2.1.The Markov property* .
5.3.Dissection
5.3.1.More detail on dissection*
5.4.The backward equation and the generator matrix
5.5.Stationary and limiting distributions
5.5.1.More on invariant measures*
5.6.Laplace transform methods
5.7.Calculations and examples
5.7.1.Queueing networks
5.8.Time dependent solutions*
5.9.Reversibility
5.10.Uniformizability
5.11.The linear birth process as a point process
Exercises for Chapter 5

CHAPTER 6.BROWNIAN MOTION
6.1.Introduction
6.2.Preliminaries
6.3.Construction of Brownian motion*
6.4.Simple properties of standard Brownian motion
6.5.The reflection principle and the distribution of the maximum
6.6.The strong independent increment property and reflection*
6.7.Escape from a strip
6.8.Brownian motion with drift
6.9.Heavy traffic approximations in queueing theory
6.10.The Brownian bridge and the Kolmogorov--Smirnov statistic.
6.11.Path properties*
6.12.Quadratic variation
6.13.Khintchine's law of the iterated logarithm for Brownian motion
Exercises for Chapter 6

CHAPTER 7.THE GENERAL RANDOM WALK*
7.1.Stopping times
7.2.Global properties
7.3.Prelude to Wiener-Hopf： Probabilistic interpretations of transforms
7.4.Dual pairs of stopping times
7.5.Wiener-Hopf decompositions
7.6.Consequences of the Wiener-Hopf factorization
7.7.The maximum of a random walk
7.8.Random walks and the G/G/1 queue
7.8.1.Exponential right tail
7.8.2.Application to G/M/1 queueing model
7.8.3.Exponential left tail
7.8.4.The M/G/1 queue
7.8.5.Queue lengths
References
Index

前言/序言

评分☆☆☆☆☆

凑单买的，曾经挺老师推荐过，应该还不错

评分☆☆☆☆☆

时人们透过表面的偶然性描述出必然的内在规律并以概率的形式来描述这些规律，从偶然中悟出必然正是这一学科的魅力所在。

评分☆☆☆☆☆

京东图书的活动总是这么给力，希望京东图书越办越好！

评分☆☆☆☆☆

一般来说，把一组随机变量定义为随机过程。在研究随机过程

评分☆☆☆☆☆

不错，很好的啦啦

评分☆☆☆☆☆

京东图书的活动总是这么给力，希望京东图书越办越好！

评分☆☆☆☆☆

不错

评分☆☆☆☆☆

随机过程整个学科的理论基础是由柯尔莫哥洛夫和杜布奠定的。这一学科最早源于对物

评分☆☆☆☆☆

老板要讲随机系统，推荐了基本书。其中的一本。