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Patrick Billingsley - Probability and Measure - 9781118122372 - V9781118122372
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Probability and Measure

€ 162.63
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Description for Probability and Measure Hardcover. * The book is written by a first-class, world-renown authority in probability and measure theory at a leading U.S. institution of higher education * The book has been class-tested at over 200 universities around the globe * Theory is first-and-foremost. Series: Wiley Series in Probability and Statistics. Num Pages: 656 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 261 x 177 x 39. Weight in Grams: 1538.

Praise for the Third Edition

"It is, as far as I'm concerned, among the best books in math ever written....if you are a mathematician and want to have the top reference in probability, this is it." (Amazon.com, January 2006)

A complete and comprehensive classic in probability and measure theory

Probability and Measure, Anniversary Edition by Patrick Billingsley celebrates the achievements and advancements that have made this book a classic in its field for the past 35 years. Now re-issued in a new style and format, but with the reliable content that the third edition was revered for, this Anniversary Edition ... Read more

This book adds a new foreward by Steve Lally of the Statistics Department at The University of Chicago in order to underscore the many years of successful publication and world-wide popularity and emphasize the educational value of this book. The Anniversary Edition contains features including:

  • An improved treatment of Brownian motion
  • Replacement of queuing theory with ergodic theory
  • Theory and applications used to illustrate real-life situations
  • Over 300 problems with corresponding, intensive notes and solutions
  • Updated bibliography
  • An extensive supplement of additional notes on the problems and chapter commentaries

Patrick Billingsley was a first-class, world-renowned authority in probability and measure theory at a leading U.S. institution of higher education. He continued to be an influential probability theorist until his unfortunate death in 2011. Billingsley earned his Bachelor's Degree in Engineering from the U.S. Naval Academy where he served as an officer. he went on to receive his Master's Degree and doctorate in Mathematics from Princeton University.Among his many professional awards was the Mathematical Association of America's Lester R. Ford Award for mathematical exposition. His achievements through his long and esteemed career have solidified Patrick Billingsley's place as a leading authority in the field and been a large reason for his books being regarded as classics.

This Anniversary Edition of Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Like the previous editions, this Anniversary Edition is a key resource for students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.

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Product Details

Format
Hardback
Publication date
2012
Publisher
John Wiley & Sons Inc United States
Number of pages
656
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
656
Place of Publication
New York, United States
ISBN
9781118122372
SKU
V9781118122372
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2

About Patrick Billingsley
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 ... Read more

Reviews for Probability and Measure
“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.”  (Int. J. Microstructure and Materials Properties, 1 February 2013)

Goodreads reviews for Probability and Measure


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