Items related to An Introduction to Stochastic Modeling
Synopsis
In this revised edition, the number of exercises has been doubled, and Wald's equation has been added along with examples of sum quota sampling. Chapters are organized around several prototype classes of stochastic processes featuring Markov chains in discrete and continuous time, Poisson processes and renewal theory, the evolution of branching events, and queueing models. Solutions to selected exercises are included. Annotation copyright Book News, Inc. Portland, Or.
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About the Author
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.
Review
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
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An Introduction to Stochastic Modeling
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Elsevier Science & Technology, 1993
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ISBN 13: 9780126848854
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