Skip to content

A First Look at Rigorous Probability Theory

A First Look at Rigorous Probability Theory Paperback - 2006 - 2nd Edition

by Jeffrey S. Rosenthal

  • Used
  • very good
  • Paperback

Description

World Scientific Publishing Co Pte Ltd, 2006. Paperback. Very Good. Disclaimer:A copy that has been read, but remains in excellent condition. Pages are intact and are not marred by notes or highlighting, but may contain a neat previous owner name. The spine remains undamaged. At ThriftBooks, our motto is: Read More, Spend Less.Dust jacket quality is not guaranteed.
Used - Very Good
NZ$35.47
FREE Shipping to USA Standard delivery: 4 to 8 days
More Shipping Options
Ships from ThriftBooks (Washington, United States)

Details

  • Title A First Look at Rigorous Probability Theory
  • Author Jeffrey S. Rosenthal
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Condition Used - Very Good
  • Pages 236
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Publishing Co Pte Ltd
  • Date 2006
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # G9812703713I4N00
  • 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

About ThriftBooks Washington, United States

Biblio member since 2018
Seller rating: This seller has earned a 4 of 5 Stars rating from Biblio customers.

From the largest selection of used titles, we put quality, affordable books into the hands of readers

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from ThriftBooks

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.