Modeling and analysis of stochastic systems

This practical and accessible text enables readers from engineering, business, operations research, public policy and computer science to analyze stochastic systems. Emphasizing the modeling of real-life situations with stochastic elements and analyzing the resulting stochastic model, it presents th...

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Bibliographic Details
Main Author: Kulkarni, Vidyadhar G (Author)
Format: Book
Published: New York Chapman & Hall 1995
©1995
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Online Access:Click Here to View Status and Holdings.
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020 # # |a 0412049910  |q hardback 
040 # # |a UiTM  |b eng  |c UiTM  |e rda 
090 0 0 |a QA274.3  |b .K85 1995 
100 1 # |a Kulkarni, Vidyadhar G  |e author 
245 1 1 |a Modeling and analysis of stochastic systems  |c Vidyadhar G. Kulkarni 
264 # 1 |a New York  |b Chapman & Hall  |c 1995 
264 # 1 |c ©1995 
300 # # |a xi, 619 pages  |b illustrations  |c 24 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references (page 608-610) and index 
520 # # |a This practical and accessible text enables readers from engineering, business, operations research, public policy and computer science to analyze stochastic systems. Emphasizing the modeling of real-life situations with stochastic elements and analyzing the resulting stochastic model, it presents the major cases of useful stochastic processes-discrete and continuous time Markov chains, renewal processes, regenerative processes, and Markov regenerative processes.The author provides reader-friendly yet rigorous coverage. He follows a set pattern of development for each class of stochastic processes and introduces Markov chains before renewal processes, so that readers can begin modeling systems early. He demonstrates both numerical and analytical solution methods in detail and dedicates a separate chapter to queueing applications.Modeling and Analysis of Stochastic Systems includes numerous worked examples and exercises, conveniently categorized as modeling, computational, or conceptual and making difficult concepts easy to grasp. Taking a practical approach to working with stochastic models, this book helps readers to model and analyze the increasingly complex and interdependent systems made possible by recent advances. 
650 # 0 |a Stochastic processes 
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