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First Look At Rigorous Probability Theory, A (2Nd Edition)

First Look At Rigorous Probability Theory, A (2Nd Edition)

First Look At Rigorous Probability Theory, A (2Nd Edition)
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First Look At Rigorous Probability Theory, A (2Nd Edition) Paperback - 2006 - 2nd Edition

by Rosenthal, Jeffrey S

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World Scientific Publishing Company, 2006-11-14. 2nd ed. paperback. Used: Good. 1.00x10.00x7.00. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title First Look At Rigorous Probability Theory, A (2Nd Edition)
  • Author Rosenthal, Jeffrey S
  • Binding Paperback
  • Edition number 2nd
  • Edition 2nd ed
  • Condition Used: Good
  • Pages 236
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Publishing Company
  • Publication date 2006-11-14
  • Features Bibliography, Index, Table of Contents
  • Bookseller's Inventory # SONG9812703713
  • ISBN 9789812703712 / 9812703713
  • Weight 0.95 lbs (0.43 kg)
  • Dimensions 8.9 x 6 x 0.6 in (22.61 x 15.24 x 1.52 cm)
  • Size 1.00x10.00x7.00
  • Category Mathematics
  • Library of Congress Catalogue Number 2007280482
  • Dewey Decimal Code 519.2
  • Quantity available 1

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Reader reviews for First Look At Rigorous Probability Theory, A (2Nd Edition)

From the publisher

This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail.

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