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An Introduction to Stochastic Modeling Samuel Karlin (Stanford University and The Weizmann Institute of Science)

An Introduction to Stochastic Modeling von Samuel Karlin (Stanford University and The Weizmann Institute of Science)

An Introduction to Stochastic Modeling Samuel Karlin (Stanford University and The Weizmann Institute of Science)

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Zusammenfassung

Introduces students to the standard concepts and methods of stochastic modeling. This text illustrates the diversity of applications of stochastic processes in the applied sciences. It provides exercises in the application of simple stochastic analysis to realistic problems. It integrates realistic applications from a variety of disciplines.

An Introduction to Stochastic Modeling Zusammenfassung

An Introduction to Stochastic Modeling Samuel Karlin (Stanford University and The Weizmann Institute of Science)

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, Third Edition, bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems.

An Introduction to Stochastic Modeling Bewertungen

PRAISE FOR THE SECOND EDITION This book is a valuable resource for anyone studying combustion processes.--David L. Liscinsky, United Technologist Research Center, in AIAA JOURNAL This is an excellent text-book....The narrative is clear, careful and detailed but, at the same time, designed to draw (not to bore) the reader in. The main strengths, in my opinion, are the wealth of convincing applications, which are discussed at some, but not too much length after each bit of theoretical development, and the large number of exercises given at the ends of sections, not just at the ends of chapters.--Martin Crowder, University of Surrey, Guildford, in THE STATISTICIAN

Über Samuel Karlin (Stanford University and The Weizmann Institute of Science)

Howard E. Taylor is a research chemist with the National Research Program, Water Resources Division, U.S. Geological Survey located in Boulder, Colorado. Dr. Taylor has played a major role over the past 25 years in the development of plasma spectrometric techniques in analytical chemistry, as reflected in his more than 150 technical publications and the presentation of numerous papers at national and international technical meetings. He has served as faculty affiliate at Colorado State University and has taught American Chemical Society Short Courses for more than 15 years.

Inhaltsverzeichnis

Conditional Probability and Conditional Expectation Markov Chains: Introduction The Long Run Behavior of Markov Chains Poisson Processes Continuous Time Markov Chains Renewal Phenomena Brownian Motion and Related Processes Queueing Systems

Zusätzliche Informationen

GOR003892868
9780126848878
0126848874
An Introduction to Stochastic Modeling Samuel Karlin (Stanford University and The Weizmann Institute of Science)
Samuel Karlin (Stanford University and The Weizmann Institute of Science)
Gebraucht - Sehr Gut
Gebundene Ausgabe
Elsevier Science Publishing Co Inc
19980508
648
N/A
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