Selasa, 07 Juni 2011

[B353.Ebook] Download PDF Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan

Download PDF Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan

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Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan

Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan



Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan

Download PDF Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan

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Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan

This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various applications. As a result, a few of the familiar topics are replaced by interesting non-standard ones. The topics range from undergraduate probability and classical limit theorems to Brownian motion and elements of stochastic calculus. Throughout, the reader will find many exciting applications of probability theory and probabilistic reasoning. There are numerous exercises, ranging from the routine to the very difficult. Each chapter concludes with historical notes.

  • Sales Rank: #1889490 in Books
  • Published on: 2007-03-20
  • Original language: English
  • Dimensions: 10.00" h x 7.00" w x .50" l, 1.28 pounds
  • Binding: Hardcover
  • 224 pages

Review
"...overall the text is neatly written and presents not only good mathematics but also a heuristic view of modern probability, including numerous exercises and historical notes." ---- European Mathematical Society Newsletter

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[B353.Ebook] Download PDF Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan Doc

[B353.Ebook] Download PDF Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan Doc

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[B353.Ebook] Download PDF Probability (Graduate Studies in Mathematics), by Davar Khoshnevisan Doc

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