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.
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Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. A textbook for a one-semester graduate course in measure-theoretic probability theory. It presents an approach to develop the ideas that are absolutely central to modern probability theory. It offers topics that range from undergraduate probability and classical limit theorems to Brownian motion and elements of stochastic calculus. Series: Graduate Studies in Mathematics. Num Pages: 224 pages. BIC Classification: PBKL; PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 258 x 186 x 17. Weight in Grams: 582. . 2007. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780821842157
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