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Intl. Ed.

FIRST LOOK AT RIGOROUS PROBABILITY THEORY, A (2ND EDITION) Softcover - 2006 - 2nd Edition

by Jeffrey S Rosenthal

  • New
  • Paperback
International Edition

Description

WORLD SCIENTIFIC, 2006. Softcover. Brand New. “International Edition” - ISBN number and front cover may be different in rare cases but CONTENTS are same as the US edition. No shipping to PO BOX, APO, FPO addresses. Kindly provide day time phone number in order to ensure smooth delivery. Printed in black & white in English language. Territorial restrictions may be printed on the book. We may ship from Asian regions for inventory purpose. 100% Customer satisfaction guaranteed!" We use Fast Shipping via DHL/FEDEX/UPS
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Details

  • Title FIRST LOOK AT RIGOROUS PROBABILITY THEORY, A (2ND EDITION)
  • Author Jeffrey S Rosenthal
  • Binding Softcover
  • Edition number 2nd
  • Edition 2
  • Condition New
  • Pages 236
  • Volumes 1
  • Language ENG
  • Publisher WORLD SCIENTIFIC
  • Date 2006
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # BWE-PA18405
  • 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)
  • Library of Congress Catalog Number 2007280482
  • Dewey Decimal Code 519.2

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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.