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 a thorough treatment of the three main subjects in probability theory: 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.
Allan Gut
Probability: A Graduate Course [PDF ebook]
Probability: A Graduate Course [PDF ebook]
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Language English ● Format PDF ● ISBN 9781461447085 ● Publisher Springer New York ● Published 2012 ● Downloadable 3 times ● Currency EUR ● ID 2662802 ● Copy protection Adobe DRM
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