<p>Introdution to probability model </p><p>应用随机过程:概率模型导论</p><p> </p><div class="renwu_right"><div class="renwu_right">Sheldon M.Ross国际知名概率与统计学家,</div><div class="renwu_right">研究领域包括:随机模型、仿真模拟、统计分析、金融数学等。</div><div class="renwu_right">1-A First Course in Probability 概率论基础教程</div><div class="renwu_right">2-Simulation 统计模拟</div><div class="renwu_right">3-Introdution to probability model 应用随机过程:概率模型导论</div><div class="renwu_right"> </div><div class="renwu_right"><h3 class="brown16b"><b>【目录信息】</b></h3>1.Introduction to Probability Theory <br/>1.1.Introduction <br/>1.2.Sample Space and Events <br/>1.3.Probabilities Defined on Events<br/>1.4.Conditional Probabilities <br/>1.5.Independent Events <br/>1.6.Bayes' Formula <br/>Exercises <br/>References<br/>2.Random Variables <br/>2.1.Random Variables <br/>2.2.Discrete Random Variables<br/>2.3.Continuous Random Variables<br/>2.4.Expectation of a Random Variable<br/>2.5.Jointly Distributed Random Variables <br/>2.6.Moment Generating Functions <br/>2.7.Limit Theorems <br/>2.8.Stochastic Processes <br/>Exercises <br/>References<br/>3.Conditional Probability and Conditional Expectation<br/>3.1.Introduction <br/>3.2.The Discrete Case <br/>3.3.The Continuous Case <br/>3.4.Computing Expectations by Conditioning <br/>3.5.Computing Probabilities by Conditioning <br/>3.6.Some Applications<br/>3.7.An Identity for Compound Random Variables<br/>Exercises <br/>4.Markov Chains <br/>4.1.Introduction <br/>4.2.Chapman-Kolmogorov Equations <br/>4.3.Classification of States<br/>4.4.Limiting Probabilities<br/>4.5.Some Applications<br/>4.6.Mean Time Spent in Transient States<br/>4.7.Branching Processes<br/>4.8.Time Reversible Markov Chains <br/>4.9.Markov Chain Monte Carlo Methods <br/>4.10.Markov Decision Processes <br/>4.11.Hidden Markov Chains <br/>Exercises<br/>References <br/>5.The Exponential Distribution and the Poisson Process <br/>5.1.Introduction <br/>5.2.The Exponential Distribution <br/>5.3.The Poisson Process <br/>5.4.Generalizations of the Poisson Process<br/>Exercises <br/>References<br/>6.Continuous-Time Markov Chains<br/>7.Renewal Theory and Its Applications<br/>8.Queueing Theory <br/>9.Reliability Theory <br/>10.Brownian Motion and Stationary Processes <br/>11.Simulation <br/>Appendix: Solutions to Starred Exercises<br/>Index<br/></div></div>
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