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Lingua: Inglese
Editore: Wiley, 1995
Serie: Libro 147 di 358 - Wiley Series in Probability and Statistics
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Paperback. Condizione: New. 2024 ed. Dieses Lehrbuch deckt die wichtigsten Konzepte und Formeln der Wahrscheinlichkeitsrechnung ab und möchte für deren Schönheit begeistern. Es stellt Einsicht und Verständnis an erste Stelle - zu diesem Zweck werden zahlreiche motivierende und lehrreiche Beispiele und Aufgaben bereitgestellt. Das Buch richtet sich an alle, die mehr darüber wissen wollen, was Wahrscheinlichkeit ist und wie sie angewendet wird - etwa Studierende in Studiengängen wie Informatik, Natur-, Ingenieur-, Wirtschafts- und Sozialwissenschaften oder Lehrkräfte für Mathematik. Es unterscheidet sich von anderen Einführungen in die Wahrscheinlichkeitstheorie, indem es auch der Bayesschen Statistik und dem Zusammenspiel von Monte-Carlo-Simulation und Wahrscheinlichkeitsrechnung gebührende Aufmerksamkeit widmet. Außerdem enthält es einige reale Anwendungsfälle aus dem täglichen Leben, die von der Anwendung des Bayesschen Denkens in Recht und Medizin bis hin zu Anlagestrategien an der Börse, Elfmeterschießen im Fußball und Täuschungen bei Lotterien reichen.Das vorliegende Buch basiert maßgeblich auf dem niederländischen Buch Kansrekening in Werking - een moderne aanpak (4. Aufl. 2023, Verlag Epsilon Uitgaven) des Autors, das von diesem um weitere Inhalte angereichert wurde. Die Übersetzung wurde auf Basis künstlicher Intelligenz erstellt und vom Autor auf Richtigkeit geprüft und überarbeitet. In stilistischer Hinsicht kann sie sich dennoch von einer herkömmlichen Übersetzung unterscheiden.Die Produktfamilie WissensExpress bietet Ihnen Lehr- und Lernbücher in kompakter Form. Die Bücher liefern schnell und verständlich fundiertes Wissen.…

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Hardback. Condizione: New. The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications.Incorporates recent developments in computational probability.Includes a wide range of examples that illustrate the models and make the methods of solution clear.Features an abundance of motivating exercises that help the student learn how to apply the theory.Accessible to anyone with a basic knowledge of probability. A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations resear ch, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications.…

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Hardcover. Condizione: new. Hardcover. The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications.Incorporates recent developments in computational probability.Includes a wide range of examples that illustrate the models and make the methods of solution clear.Features an abundance of motivating exercises that help the student learn how to apply the theory.Accessible to anyone with a basic knowledge of probability. A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations resear ch, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications. An integrated presentation of theory, applications and algorithms that demonstrates how useful simple stochastic (random) models can be for gaining insight into the behaviour of complex stochastic systems. The methods described can be used to obtain solutions to problems in statistics, operations research, finance, economics and engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condizione: New. 2003. 2nd. Hardcover. An integrated presentation of theory, applications and algorithms that demonstrates how useful simple stochastic (random) models can be for gaining insight into the behaviour of complex stochastic systems. The methods described can be used to obtain solutions to problems in statistics, operations research, finance, economics and engineering. Num Pages: 488 pages, index. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 237 x 164 x 34. Weight in Grams: 876. . . . . .…

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Lingua: Inglese
Editore: Wiley & Sons, Incorporated, John, 1995
Serie: Libro 147 di 358 - Wiley Series in Probability and Statistics
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Condizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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Condizione: New. 2003. 2nd. Hardcover. An integrated presentation of theory, applications and algorithms that demonstrates how useful simple stochastic (random) models can be for gaining insight into the behaviour of complex stochastic systems. The methods described can be used to obtain solutions to problems in statistics, operations research, finance, economics and engineering. Num Pages: 488 pages, index. BIC Classification: PBWL. Category: (P) Professional & Vocational. Dimension: 237 x 164 x 34. Weight in Grams: 876. . . . . . Books ship from the US and Ireland.…

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Condizione: New. pp. 492 Index.

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Buch. Condizione: Neu. Neuware - The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved.\* Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications.\* Incorporates recent developments in computational probability.\* Includes a wide range of examples that illustrate the models and make the methods of solution clear.\* Features an abundance of motivating exercises that help the student learn how to apply the theory.\* Accessible to anyone with a basic knowledge of probability.A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations resear ch, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications.…

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Dieses Lehrbuch deckt die wichtigsten Konzepte und Formeln der Wahrscheinlichkeitsrechnung ab und möchte für deren Schönheit begeistern. Es stellt Einsicht und Verständnis an erste Stelle - zu diesem Zweck werden zahlreiche motivierende und lehrreiche Beispiele und Aufgaben bereitgestellt. Das Buch richtet sich an alle, die mehr darüber wissen wollen, was Wahrscheinlichkeit ist und wie sie angewendet wird - etwa Studierende in Studiengängen wie Informatik, Natur-, Ingenieur-, Wirtschafts- und Sozialwissenschaften oder Lehrkräfte für Mathematik. Es unterscheidet sich von anderen Einführungen in die Wahrscheinlichkeitstheorie, indem es auch der Bayesschen Statistik und dem Zusammenspiel von Monte-Carlo-Simulation und Wahrscheinlichkeitsrechnung gebührende Aufmerksamkeit widmet. Außerdem enthält es einige reale Anwendungsfälle aus dem täglichen Leben, die von der Anwendung des Bayesschen Denkens in Recht und Medizin bis hin zu Anlagestrategien an der Börse, Elfmeterschießen im Fußball und Täuschungen bei Lotterien reichen.Das vorliegende Buch basiert maßgeblich auf dem niederländischen Buch Kansrekening in Werking - een moderne aanpak (4.Aufl. 2023, Verlag Epsilon Uitgaven) des Autors, das von diesem um weitere Inhalte angereichert wurde. Die Übersetzung wurde auf Basis künstlicher Intelligenz erstellt und vom Autor auf Richtigkeit geprüft und überarbeitet.In stilistischer Hinsicht kann sie sich dennoch von einer herkömmlichen Übersetzung unterscheiden.Die Produktfamilie WissensExpress bietet Ihnen Lehr- und Lernbücher in kompakter Form. Die Bücher liefern schnell und verständlich fundiertes Wissen.…

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Hardback. Condizione: New. The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications.Incorporates recent developments in computational probability.Includes a wide range of examples that illustrate the models and make the methods of solution clear.Features an abundance of motivating exercises that help the student learn how to apply the theory.Accessible to anyone with a basic knowledge of probability. A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations resear ch, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications.…

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Buch. Condizione: Neu. A First Course in Stochastic Models | Henk C. Tijms | Buch | [.] Poisson Process and Related Processes.Renewal-Reward Processes.Discrete-Time Markov Chains.Continuous-Time Markov Chains.Markov Chains and Queues.Discrete-Time Markov Decision [.]-Markov Decision Processes.Advanced Renewal Theory.A | Englisch | 2003 | John Wiley & Sons Inc | EAN 9780471498803 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

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Hardcover. Condizione: new. Hardcover. The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications.Incorporates recent developments in computational probability.Includes a wide range of examples that illustrate the models and make the methods of solution clear.Features an abundance of motivating exercises that help the student learn how to apply the theory.Accessible to anyone with a basic knowledge of probability. A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations resear ch, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications. An integrated presentation of theory, applications and algorithms that demonstrates how useful simple stochastic (random) models can be for gaining insight into the behaviour of complex stochastic systems. The methods described can be used to obtain solutions to problems in statistics, operations research, finance, economics and engineering. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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