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International Edition

Intl. Ed.

PROBABILITY AND STOCHASTIC MODELING

Intl. Ed.

PROBABILITY AND STOCHASTIC MODELING Hardback - 2012

by Vladimir I. Rotar

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INTERNATIONAL EDITION. Brand New. INTERNATIONAL EDITION. Brand New. Brand New,Softcover,International Edition,Cover & ISBN may be different. But Contents are same as US Edition.Printed in English Language, we do not ship APO, PO Box Address.
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Details

  • Title PROBABILITY AND STOCHASTIC MODELING
  • Author Vladimir I. Rotar
  • Binding Paperback
  • Edition INTERNATIONAL EDITION
  • Condition New
  • Pages 512
  • Volumes 1
  • Language ENG
  • Publisher CRC Press, n
  • Publication date 2012-08
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # ADY-009397
  • ISBN 9781439872062 / 1439872066
  • Weight 2.29 lbs (1.04 kg)
  • Dimensions 10 x 7 x 1.2 in (25.40 x 17.78 x 3.05 cm)
  • Category Mathematics
  • Library of Congress subjects Probabilities, Stochastic models
  • Library of Congress Catalogue Number 2012025210
  • Dewey Decimal Code 519.2
  • Quantity available 2

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From the publisher

Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability texts, the book also focuses on increasingly important areas, such as martingales, classification of dependency structures, and risk evaluation. Numerous examples, exercises, and models using real-world data demonstrate the practical possibilities and restrictions of different approaches and help students grasp general concepts and theoretical results. The text is suitable for majors in mathematics and statistics as well as majors in computer science, economics, finance, and physics. The author offers two explicit options to teaching the material, which is reflected in "routes" designated by special "roadside" markers. The first route contains basic, self-contained material for a one-semester course. The second provides a more complete exposition for a two-semester course or self-study.

About the author

Vladimir I. Rotar is a professor in the Department of Mathematics and Statistics at San Diego State University. Dr. Rotar has authored four books and more than 100 scientific papers on probability theory and its applications in leading mathematical journals.

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