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A Graduate Course in Probability (Dover Books on MaTHEMA 1.4tics) - Softcover

 
9780486493039: A Graduate Course in Probability (Dover Books on MaTHEMA 1.4tics)
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Suitable for a graduate course in analytic probability, this text requires only a limited background in real analysis. Topics include probability spaces and distributions, stochastic independence, basic limiting options, strong limit theorems for independent random variables, central limit theorem, conditional expectation and Martingale theory, and an introduction to stochastic processes.

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About the Author:
Howard G. Tucker is Professor Emeritus of Mathematics at the University of California, Irvine. His other books include Mathematical Methods for Sample Surveys.

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  • PublisherDover Publications Inc
  • Publication date2014
  • ISBN 10 0486493032
  • ISBN 13 9780486493039
  • BindingPaperback
  • Number of pages288

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9780127026466: Graduate Course in Probability

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ISBN 10:  0127026460 ISBN 13:  9780127026466
Publisher: Academic Press Inc, 1967
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  • 9781483207070: A Graduate Course in Probability

    Academ..., 2014
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Book Description Condition: NUOVO. Suitable for a graduate course in analytic probability theory, this text requires no previous knowledge of probability and only a limited background in real analysis. In addition to providing instruction for graduate students in mathematics and mathematical statistics, the book features detailed proofs that offer direct access to the basic theorems of probability theory for mathematicians of all interests. The treatment strikes a balance between measure-theoretic aspects of probability and distribution aspects, presenting some of the basic theorems of analytic probability theory in a cohesive manner. Statements are rendered as simply as possible in order to make them easy to remember and to demonstrate the essential idea behind each proof. Topics include probability spaces and distributions, stochastic independence, basic limiting operations, strong limit theorems for independent random variables, the central limit theorem, conditional expectation and Martingale theory, and an introduction to stochastic processes, particularly Brownian motion. Each section concludes with problems that reinforce the preceding material. cm.15,5x22, pp.XIII,273, New York, Dover Publications cm.15,5x22, pp.XIII,273, brossura copertina figurata a colori. brossura copertina figurata a colori. Seller Inventory # 293451

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