Probability : a graduate course

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,...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Gut, Allan, 1944-
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: New York, NY : Springer New York : Imprint: Springer [20..].
Cham : Springer Nature
Ausgabe:2nd ed. 2013.
Schriftenreihe:Springer Texts in Statistics 75
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Edition sous un autre format:• Probability, a graduate course, Allan Gut, 2nd edition, New York, Springer, 2013, 1 vol. (XXV-600 p.), Springer texts in statistics, 978-1-4614-4707-8
• Probability, a graduate course, Allan Gut, 2nd edition, New York, Springer, 2013, 1 vol. (XXV-600 p.), Springer texts in statistics, 978-1-4614-4707-8
Beschreibung
Zusammenfassung: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
Beschreibung:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781461447085
ISSN:1431-875X
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