Modeling and Analysis of Stochastic Systems, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Kulkarni, Vidyadhar G.

ISBN 10: 1439808759 / ISBN 13: 9781439808757

Verlag: Chapman and Hall/CRC, 2009

Beschreibung

Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Bestandsnummer des Verkäufers 00062164120

Bibliografische Details

• Titel: Modeling and Analysis of Stochastic Systems, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
• Verlag: Chapman and Hall/CRC
• Veröffentlichungsdatum: 2009
• Sprache: Englisch
• ISBN-10: 1439808759
• ISBN-13: 9781439808757
• Bindung: Hardcover
• Ausgabe: 2. Auflage
• Zustand: Acceptable

Über diesen Titel

Inhaltsangabe

Based on the author's more than 25 years of teaching experience, Modeling and Analysis of Stochastic Systems, Second Edition covers the most important classes of stochastic processes used in the modeling of diverse systems, from supply chains and inventory systems to genetics and biological systems. For each class of stochastic process, the text includes its definition, characterization, applications, transient and limiting behavior, first passage times, and cost/reward models. Along with reorganizing the material, this edition revises and adds new exercises and examples. New to the second edition: a new chapter on diffusion processes that gives an accessible and non-measure-theoretic treatment with applications to finance; a more streamlined, application-oriented approach to renewal, regenerative, and Markov regenerative processes; and, two appendices that collect relevant results from analysis and differential and difference equations. Rather than offer special tricks that work in specific problems, this book provides thorough coverage of general tools that enable the solution and analysis of stochastic models. After mastering the material in the text, students will be well-equipped to build and analyze useful stochastic models for various situations. A collection of MATLAB[registered]-based programs can be downloaded from the author's website and a solutions manual is available for qualifying instructors.

Über die Autorin bzw. den Autor

Vidyadhar G. Kulkarni is a Norman Johnson Professor in the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill.