- Hardcover: 631 pages
- Publisher: Academic Press Inc; 3rd Revised edition edition (8 May 1998)
- Language English
- ISBN-10: 0126848874
- ISBN-13: 978-0126848878
- Product Dimensions: 22.6 x 15.7 x 3.6 cm
- Average Customer Review: 3.3 out of 5 stars See all reviews (3 customer reviews)
- Amazon Bestsellers Rank: 1,027,852 in Books (See Top 100 in Books)
- See Complete Table of Contents
An Introduction to Stochastic Modeling, Third Edition
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More About the Author
Product Description
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
Product Description
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. Realistic applications from a variety of disciplines integrated throughout the text. It contains plentiful, updated and more rigorous problems, including computer 'challenges'. It provides: revised end-of-chapter exercises sets - in all, 250 exercises with answers; new chapter on Brownian motion and related processes; and, additional sections on Matingales and Poisson process. Solutions manual available to adopting instructors.
Inside This Book
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First Sentence
A quantitative description of a natural phenomenon is called a mathematical model of that phenomenon. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
A quantitative description of a natural phenomenon is called a mathematical model of that phenomenon. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews
0 of 1 people found the following review helpful
Format:Hardcover
altough I dont need this book ,its really very good for you to unstand the probablity.
0 of 1 people found the following review helpful
Format:Hardcover
I think it's a very good book about Stochastic modeling; with comprehensive examples. It's a good book for introductory courses on this field.
1 of 4 people found the following review helpful
Format:Hardcover
If you're looking for 1001 factoids about stochastic processes with little or no rigor, this is the book for you! Serious parties with mathematical and/or scientific aptitude should look elsewhere.
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