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Sinopsis
Stochastic processes are found in probabilistic systems that evolve with time. Discrete stochastic processes change by only integer time steps (for some time scale), or are characterized by discrete occurrences at arbitrary times. Discrete Stochastic Processes helps the reader develop the understanding and intuition necessary to apply stochastic process theory in engineering, science and operations research. The book approaches the subject via many simple examples which build insight into the structure of stochastic processes and the general effect of these phenomena in real systems.
The book presents mathematical ideas without recourse to measure theory, using only minimal mathematical analysis. In the proofs and explanations, clarity is favored over formal rigor, and simplicity over generality. Numerous examples are given to show how results fail to hold when all the conditions are not satisfied.
Audience: An excellent textbook for a graduate level course in engineering and operations research. Also an invaluable reference for all those requiring a deeper understanding of the subject.
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Críticas
` ... very good book that will help students to understand many of the concepts used in describing stochastic processes. I recommend it highly either as a main text or as supplementary reading.'
Interfaces, 27:4 (1997)
Reseña del editor
Stochastic processes are found in probabilistic systems that evolve with time. Discrete stochastic processes change by only integer time steps (for some time scale), or are characterized by discrete occurrences at arbitrary times. Discrete Stochastic Processes helps the reader develop the understanding and intuition necessary to apply stochastic process theory in engineering, science and operations research. The book approaches the subject via many simple examples which build insight into the structure of stochastic processes and the general effect of these phenomena in real systems.
The book presents mathematical ideas without recourse to measure theory, using only minimal mathematical analysis. In the proofs and explanations, clarity is favored over formal rigor, and simplicity over generality. Numerous examples are given to show how results fail to hold when all the conditions are not satisfied.
Audience: An excellent textbook for a graduate level course in engineering and operations research. Also an invaluable reference for all those requiring a deeper understanding of the subject.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Discrete Stochastic Processes (The Springer International Series in Engineering and Computer Science, 321)
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Discrete Stochastic Processes (Hardcover)
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Hardcover. Condición: new. Hardcover. Stochastic processes are found in probabilistic systems that evolve with time. Discrete stochastic processes change by only integer time steps (for some time scale), or are characterized by discrete occurrences at arbitrary times. This text aims to develop the reader's understanding and intuition necessary to apply stochastic process theory in engineering, science and operations research. It approaches the subject via many simple examples which build insight into the structure of stochastic processes and the general effect of these phenomena in real systems. Numerous examples are given to show how results fail to hold when all the conditions are not satisfied. Stochastic processes are found in probabilistic systems that evolve with time. Discrete stochastic processes change by only integer time steps (for some time scale), or are characterized by discrete occurrences at arbitrary times. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780792395836
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Discrete Stochastic Processes.
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Kluwer Academic Publishers, 1996
ISBN 10: 0792395832
ISBN 13: 9780792395836
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gebundene Ausgabe. Condición: Sehr gut. The Kluwer International Series in Engineering and Computer Science. Zust: Gutes Exemplar. Mit Vorbesitzereintrag. XIII, 271 Seiten, Englisch 658g. Nº de ref. del artículo: 492632
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