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A Course in Probability Theory Revised (Paperback)

by Kai Lai Chung (Author) "We begin with a discussion of distribution functions as a traditional way of introducing probability measures..." (more)
Key Phrases: stationary independent process, distinguished logarithm, vaguely convergent subsequence, Paul Lévy, Prove Theorem, New York (more...)
4.8 out of 5 stars  (4 customer reviews)

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Editorial Reviews
Product Description
Since the publication of the first edition of this classic textbook over thirty years ago, tens of thousands of students have used A Course in Probability Theory. New in this edition is an introduction to measure theory that expands the market, as this treatment is more consistent with current courses.

While there are several books on probability, Chung's book is considered a classic, original work in probability theory due to its elite level of sophistication.

Book Info
(Harcourt Science and Technology Company) Textbook offering an open view of probability theory, with a supplement on Measure and Integral. Does not concentrate solely on any one aspect of probability, but instead covers the full spectrum. Previous edition: c1974. Softcover.

See all Editorial Reviews

Product Details
  • Paperback: 419 pages
  • Publisher: Academic Press; 2nd edition (January 15, 2000)
  • Language: English
  • ISBN-10: 0121741516
  • ISBN-13: 978-0121741518
  • Product Dimensions: 8.9 x 5.9 x 0.9 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: