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Probability: A Graduate Course
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Probability: A Graduate Course - new book

2006, ISBN: 9781441919854

"I know it's trivial, but I have forgotten why". This is a slightly exaggerated characterization of the unfortunate attitude of many mathematicians toward the surrounding world. The point… More...

Nr. 978-1-4419-1985-4. Shipping costs:Worldwide free shipping, , DE. (EUR 0.00)
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Gut, A: Probability: A Graduate Course - Allan Gut
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Allan Gut:

Gut, A: Probability: A Graduate Course - Paperback

2010, ISBN: 1441919856

[EAN: 9781441919854], Neubuch, [PU: Springer New York], PROBABILITY THEORY RANDOM VARIABLE CENTRAL LIMIT THEOREM CONVERGENCE LAW OF LARGE NUMBERS THE ITERATED LOGARITHM MARTINGALES MATHEM… More...

NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) moluna, Greven, Germany [73551232] [Rating: 4 (von 5)]
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Probability: A Graduate Course: A Graduate Course (Springer Texts in Statistics) - Gut, Allan
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Gut, Allan:
Probability: A Graduate Course: A Graduate Course (Springer Texts in Statistics) - Paperback

2010

ISBN: 9781441919854

Springer, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2005, 628 Seiten, Publiziert: 2010-11-19T00:00:01Z, Produktgruppe: Buch, 2.09 kg, Medizin, Kategorien, Bücher, Stati… More...

Shipping costs:Auf Lager. Lieferung von Amazon. (EUR 0.00) Amazon.de
4
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Gut, Allan:
Probability: A Graduate Course - Paperback

2010, ISBN: 1441919856

Hardcover

Softcover reprint of hardcover 1st ed. 2005 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, Probabilitytheory; Randomvariable; CentralLimitTheorem; convergence; Lawof… More...

Shipping costs:Versandkostenfrei innerhalb der BRD. (EUR 0.00) MARZIES.de Buch- und Medienhandel, 14621 Schönwalde-Glien
5
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Gut, Allan:
Probability: A Graduate Course (Springer Texts in Statistics) - Paperback

2010, ISBN: 1441919856

[EAN: 9781441919854], Gebraucht, wie neu, [PU: Springer], Ships in a BOX from Central Missouri! Like Brand NEW. No tears, highlighting or writing because it's never been used! May have mi… More...

NOT NEW BOOK. Shipping costs: EUR 61.36 One Planet Books, Columbia, MO, U.S.A. [65661127] [Rating: 4 (von 5)]

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Bibliographic data of the best matching book

Details of the book
Probability: A Graduate Course: A Graduate Course (Springer Texts in Statistics)

This textbook on the theory of probability 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.

Details of the book - Probability: A Graduate Course: A Graduate Course (Springer Texts in Statistics)


EAN (ISBN-13): 9781441919854
ISBN (ISBN-10): 1441919856
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer
628 Pages
Weight: 0,935 kg
Language: eng/Englisch

Book in our database since 2011-06-02T17:13:22+01:00 (London)
Detail page last modified on 2023-11-01T14:32:27+00:00 (London)
ISBN/EAN: 9781441919854

ISBN - alternate spelling:
1-4419-1985-6, 978-1-4419-1985-4
Alternate spelling and related search-keywords:
Book author: allan gut
Book title: probability graduate course


Information from Publisher

Author: Allan Gut
Title: Springer Texts in Statistics; Probability: A Graduate Course
Publisher: Springer; Springer US
608 Pages
Publishing year: 2010-11-19
New York; NY; US
Printed / Made in
Weight: 0,949 kg
Language: English
109,99 € (DE)

BC; Probability Theory and Stochastic Processes; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Probability theory; Random variable; central limit theorem; convergence; law of large numbers; law of the iterated logarithm; martingales; mathematical statistics; measure theory; Statistical Theory and Methods; Statistics, general; Probability Theory; Statistical Theory and Methods; Statistics; Stochastik; BB

Introductory Measure Theory.- Random Variables.- Inequalities.- Characteristic Functions.- Convergence.- The Law of Large Numbers.- The Central Limit Theorem.- The Law of the Iterated Logarithm.- Limit Theorems; Extensions and Generalizations.- Martingales.

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