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In den WarenkorbHard cover. Zustand: Good. No jacket. Ex library with typical labeling on cover, spine, inside cover; inside pages crisp and unmarked. Some rubbing and wear on edges and corners.
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In den WarenkorbGebundene Ausgabe. Zustand: Gut. Exemplar aus einer wissenchaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 969.
Verlag: Springer Berlin, 1992
Sprache: Deutsch
Anbieter: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Deutschland
Verbandsmitglied: GIAQ
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In den WarenkorbZustand: Gut. 269 S. Slightly brownish paper. Guter Zustand/ Good With figures. Ex-Library. Sprache: Deutsch Gewicht in Gramm: 811 Hardcover/ Pappband fest gebunden.
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In den WarenkorbZustand: New.
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In den WarenkorbGebundene Ausgabe. Zustand: Gut. 269 Seiten ex library book - Sprache: Englisch Gewicht in Gramm: 550.
Verlag: Berlin, Heidelberg: Springer-Verlag, 1992
ISBN 10: 3540549277 ISBN 13: 9783540549277
Sprache: Englisch
Anbieter: Antiquariat Bernhardt, Kassel, Deutschland
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In den Warenkorbgebundene Ausgabe. Zust: Gutes Exemplar. IX, 269 Seiten, Englisch 558g.
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In den WarenkorbZustand: New. In.
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642846831 ISBN 13: 9783642846830
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book was written for an introductory one-semester or two-quarter course in stochastic processes and their applications. The reader is assumed to have a basic knowledge of analysis and linear algebra at an undergraduate level. Stochastic models are applied in many fields such as engineering systems, physics, biology, operations research, business, economics, psychology, and linguistics. Stochastic modeling is one of the promising kinds of modeling in applied probability theory. This book is intended to introduce basic stochastic processes: Poisson pro cesses, renewal processes, discrete-time Markov chains, continuous-time Markov chains, and Markov-renewal processes. These basic processes are introduced from the viewpoint of elementary mathematics without going into rigorous treatments. This book also introduces applied stochastic system modeling such as reliability and queueing modeling. Chapters 1 and 2 deal with probability theory, which is basic and prerequisite to the following chapters. Many important concepts of probabilities, random variables, and probability distributions are introduced. Chapter 3 develops the Poisson process, which is one of the basic and im portant stochastic processes. Chapter 4 presents the renewal process. Renewal theoretic arguments are then used to analyze applied stochastic models. Chapter 5 develops discrete-time Markov chains. Following Chapter 5, Chapter 6 deals with continuous-time Markov chains. Continuous-time Markov chains have im portant applications to queueing models as seen in Chapter 9. A one-semester course or two-quarter course consists of a brief review of Chapters 1 and 2, fol lowed in order by Chapters 3 through 6.
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642846831 ISBN 13: 9783642846830
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
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In den WarenkorbZustand: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 284 | Sprache: Englisch | Produktart: Bücher.
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 269 pages. 9.50x6.50x0.50 inches. In Stock.
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In den WarenkorbPF. Zustand: New.
Verlag: World Scientific Pub Co Inc, 1985
ISBN 10: 9971978563 ISBN 13: 9789971978563
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 285 pages. 8.50x6.10x0.90 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Like New. Like New. book.
Verlag: Springer Berlin Heidelberg Dez 2011, 2011
ISBN 10: 3642846831 ISBN 13: 9783642846830
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book was written for an introductory one-semester or two-quarter course in stochastic processes and their applications. The reader is assumed to have a basic knowledge of analysis and linear algebra at an undergraduate level. Stochastic models are applied in many fields such as engineering systems, physics, biology, operations research, business, economics, psychology, and linguistics. Stochastic modeling is one of the promising kinds of modeling in applied probability theory. This book is intended to introduce basic stochastic processes: Poisson pro cesses, renewal processes, discrete-time Markov chains, continuous-time Markov chains, and Markov-renewal processes. These basic processes are introduced from the viewpoint of elementary mathematics without going into rigorous treatments. This book also introduces applied stochastic system modeling such as reliability and queueing modeling. Chapters 1 and 2 deal with probability theory, which is basic and prerequisite to the following chapters. Many important concepts of probabilities, random variables, and probability distributions are introduced. Chapter 3 develops the Poisson process, which is one of the basic and im portant stochastic processes. Chapter 4 presents the renewal process. Renewal theoretic arguments are then used to analyze applied stochastic models. Chapter 5 develops discrete-time Markov chains. Following Chapter 5, Chapter 6 deals with continuous-time Markov chains. Continuous-time Markov chains have im portant applications to queueing models as seen in Chapter 9. A one-semester course or two-quarter course consists of a brief review of Chapters 1 and 2, fol lowed in order by Chapters 3 through 6. 284 pp. Englisch.
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642846831 ISBN 13: 9783642846830
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book was written for an introductory one-semester or two-quarter course in stochastic processes and their applications. The reader is assumed to have a basic knowledge of analysis and linear algebra at an undergraduate level. Stochastic models are appl.