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First Course in Stochastic Models
Buch von Tijms
Sprache: Englisch

73,55 €*

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Beschreibung
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.
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.
Über den Autor

Henk C. Tijms is a Dutch mathematician and Emeritus Professor of Operations Research at the VU University Amsterdam. He studied mathematics in Amsterdam where he graduated from the University of Amsterdam in 1972 under supervision of Gijsbert de Leve.

Inhaltsverzeichnis
Preface.

The Poisson Process and Related Processes.

Renewal-Reward Processes.

Discrete-Time Markov Chains.

Continuous-Time Markov Chains.

Markov Chains and Queues.

Discrete-Time Markov Decision Processes.

Semi-Markov Decision Processes.

Advanced Renewal Theory.

Algorithmic Analysis of Queueing Models.

Appendix A: Useful Tools in Applied Probability.

Appendix B: Useful Probability Distributions.

Appendix C: Generating Functions.

Appendix D: The Discrete Fast Fourier Transform.

Appendix E: Laplace Transform Theory.

Appendix F: Numerical Laplace Inversion.

Appendix G: The Root-Finding Problem.

References.

Index.
Details
Erscheinungsjahr: 2003
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 496
Inhalt: 492 S.
ISBN-13: 9780471498803
ISBN-10: 0471498807
Sprache: Englisch
Einband: Gebunden
Autor: Tijms
Hersteller: Wiley
John Wiley & Sons
Maße: 240 x 161 x 31 mm
Von/Mit: Tijms
Erscheinungsdatum: 08.04.2003
Gewicht: 0,9 kg
preigu-id: 102373749
Über den Autor

Henk C. Tijms is a Dutch mathematician and Emeritus Professor of Operations Research at the VU University Amsterdam. He studied mathematics in Amsterdam where he graduated from the University of Amsterdam in 1972 under supervision of Gijsbert de Leve.

Inhaltsverzeichnis
Preface.

The Poisson Process and Related Processes.

Renewal-Reward Processes.

Discrete-Time Markov Chains.

Continuous-Time Markov Chains.

Markov Chains and Queues.

Discrete-Time Markov Decision Processes.

Semi-Markov Decision Processes.

Advanced Renewal Theory.

Algorithmic Analysis of Queueing Models.

Appendix A: Useful Tools in Applied Probability.

Appendix B: Useful Probability Distributions.

Appendix C: Generating Functions.

Appendix D: The Discrete Fast Fourier Transform.

Appendix E: Laplace Transform Theory.

Appendix F: Numerical Laplace Inversion.

Appendix G: The Root-Finding Problem.

References.

Index.
Details
Erscheinungsjahr: 2003
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 496
Inhalt: 492 S.
ISBN-13: 9780471498803
ISBN-10: 0471498807
Sprache: Englisch
Einband: Gebunden
Autor: Tijms
Hersteller: Wiley
John Wiley & Sons
Maße: 240 x 161 x 31 mm
Von/Mit: Tijms
Erscheinungsdatum: 08.04.2003
Gewicht: 0,9 kg
preigu-id: 102373749
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