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Probability and Measure, 3rd Edition (Hardcover)
by Patrick Billingsley (Author) "Although sufficient for the development of many interesting topics in mathematical probability, the theory of discrete probability spaces does not go far enough for the..." (more)
Key Phrases: cocountable sets, subfair case, normal number theorem, Compare Problem, Reconsider Problem (more...)
  4.2 out of 5 stars 11 customer reviews (11 customer reviews)  

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Editorial Reviews
Product Description
PROBABILITY AND MEASURE

Third Edition

Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory 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, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.

Like the previous editions, this new 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.

Book Info
Offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. New third edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory. DLC: Probabilities.

See all Editorial Reviews

Product Details
  • Hardcover: 608 pages
  • Publisher: Wiley-Interscience; 3 edition (April 17, 1995)
  • Language: English
  • ISBN-10: 0471007102
  • ISBN-13: 978-0471007104
  • Product Dimensions: 9.3 x 6.2 x 1.4 inches
  • Shipping Weight: 2.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.2 out of 5 stars 11 customer reviews (11 customer reviews)
  • Amazon.com Sales Rank: #154,441 in Books (See Bestsellers in Books)

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    #35 in  Books > Science > Mathematics > Reference

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  • Also Available in: Hardcover (2 Sub) |  All Editions

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Inside This Book (learn more)
First Sentence:
Although sufficient for the development of many interesting topics in mathematical probability, the theory of discrete probability spaces does not go far enough for the rigorous treatment of problems of two kinds: those involving an infinitely repeated operation, as an infinite sequence of tosses of a coin, and those involving an infinitely fine operation, as the random drawing of a point from a segment. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
cocountable sets, subfair case, normal number theorem, field moo, negligible complement, simple random variables, centered normal distribution, separable with respect, fixed discontinuities, nth play, finitely additive probability measure, cofinite sets, trifling set, martingale relative, nonnegative case, countable subadditivity, infinite capital, irreducible solutions, measurable rectangles, sum extending, dyadic expansion, bold play, unit stakes, aperiodic chain, initial fortune
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Compare Problem, Reconsider Problem
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Browse Sample Pages:
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover | Surprise Me!
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