Introduction To Stochastic Processes

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Introduction To Stochastic ProcessesISBN13:9780486497976ISBN10:0486497976Author:Cinlar, Erhan (Author)Description:This Clear Presentation Of The Most Fundamental Models Of Random Phenomena Employs Methods That Recognize Computer-Related Aspects Of Theory The Text Emphasizes The Modern Viewpoint, In Which The Primary Concern Is The Behavior Of Sample Paths By Employing Matrix Algebra And Recursive Methods, Rather Than Transform Methods, It Provides Techniques Readily Adaptable To Computing With Machines Topics Include Probability Spaces And Random Variables, Expectations And Independence, Bernoulli Processes And Sums Of Independent Random Variables, Poisson Processes, Markov Chains And Processes, And Renewal Theory Assuming Some Background In Calculus But None In Measure Theory, The Complete, Detailed, And Well-Written Treatment Is Suitable For Engineering Students In Applied Mathematics And Operations Research Courses As Well As Those In A Wide Variety Of Other Scientific Fields Many Numerical Examples, Worked Out In Detail, Appear Throughout The Text, In Addition To Numerous End-Of-Chapter Exercises And Answers To Selected Exercises Binding:Paperback, PaperbackPublisher:Dover PublicationsPublication Date:2013-02-20Weight:1.4 lbsDimensions:1.1'' H x 8.9'' L x 5.9'' WNumber of Pages:402Language:English

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