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Cover of Probability: A Graduate Course

Probability: A Graduate Course

by Allan Gut

Probability Theory and Stochastic ProcessesStatisticsStatistics, generalMathematicsDistribution (Probability theory)Mathematical statisticsStatistical Theory and MethodsProbabilities

Like its predecessor, this book starts from the premise that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by explanations of the three main subjects in probability: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. The new edition is comprehensively updated, including some new material as well as around a dozen new references.

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For young readers

Book data: Open Library