Titel: Modeling and Analysis of Stochastic Systems (Chapman & Hall/CRC Texts in Statistical Science)
Verlag: Chapman and Hall/CRC
Ver�ffentlichungsdatum: 1996
Sprache: Englisch
ISBN-10: 0412049910
ISBN-13: 9780412049910
Bindung: Hardcover
Zustand: New

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Inhaltsangabe

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.

Cr�ticas

..."a beautiful introductory textbook on stochastic processes...Plenty of applications, examples, and exercises bring the reader to the intuitive understanding of the subject." -Zentralblatt f]r Mathematik "Well-chosen examples and interesting exercises make this text a good choice for a first course in stochastic processes for a broad class of students." - Journal of the American Statistical Association

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