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Probability and Measure Anniv
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Probability and Measure Anniv Hardcover - 2012

by Patrick Billingsley


From the rear cover

Probability and Measure Anniversary Edition

This Anniversary Edition of Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining intact the unique approach of the Third Edition, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory, which is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, stochastic processes, Brownian motion, and ergodic theory. The Anniversary Edition features a new, pedagogically sound interior design with an emphasis on open space. Like the previous editions, this Anniversary Edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.

Details

  • Title Probability and Measure Anniv
  • Author Patrick Billingsley
  • Binding Hardcover
  • Edition [ Edition: Anniv
  • Pages 656
  • Volumes 1
  • Language ENG
  • Publisher Wiley, New York, NY, U.S.A.
  • Date 2012-02-28
  • Features Bibliography, Index, Table of Contents
  • ISBN 9781118122372 / 1118122372
  • Weight 2.67 lbs (1.21 kg)
  • Dimensions 10.03 x 7.2 x 1.49 in (25.48 x 18.29 x 3.78 cm)
  • Library of Congress subjects Probabilities, Measure theory
  • Dewey Decimal Code 519.2

About the author

Patrick Billingsley was Professor Emeritus of Statistics and Mathematics at the University of Chicago and a world-renowned authority on probability theory before his untimely death in 2011. He was the author of Convergence of Probability Measures (Wiley), among other works. Dr. Billingsley edited the Annals of Probability for the Institute of Mathematical Statistics. He received his PhD in mathematics from Princeton University.
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