2012, ISBN: 9781461447085
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ISBN: 9781461447085
Mathematics; Probability Theory and Stochastic Processes; Statistical Theory and Methods; Statistics, general Central Limit Theorem, Convergence, Law of Large Numbers, Law of the Iterated… More...
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ISBN: 9781461447085
This book covers inequalities, characteristic functions and convergence, the law of large numbers, the central limit theorem and the law of the iterated logarithm.This revised edition upd… More...
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2012, ISBN: 9781461447085
eBooks, eBook Download (PDF), Auflage, [PU: Springer New York], [ED: 2], Springer New York, 2012
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2013, ISBN: 9781461447085
[ED: 2], Auflage, eBook Download (PDF), eBooks, [PU: Springer Lehrbuch]
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2012, ISBN: 9781461447085
eBooks, eBook Download (PDF), Auflage, Like its predecessor, this book starts from the premise that, rather than being a purely mathematical discipline, probability theory is an intimate … More...
ISBN: 9781461447085
Mathematics; Probability Theory and Stochastic Processes; Statistical Theory and Methods; Statistics, general Central Limit Theorem, Convergence, Law of Large Numbers, Law of the Iterated… More...
ISBN: 9781461447085
This book covers inequalities, characteristic functions and convergence, the law of large numbers, the central limit theorem and the law of the iterated logarithm.This revised edition upd… More...
2012, ISBN: 9781461447085
eBooks, eBook Download (PDF), Auflage, [PU: Springer New York], [ED: 2], Springer New York, 2012
2013, ISBN: 9781461447085
[ED: 2], Auflage, eBook Download (PDF), eBooks, [PU: Springer Lehrbuch]
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Details of the book - Probability: A Graduate Course
EAN (ISBN-13): 9781461447085
ISBN (ISBN-10): 1461447089
Publishing year: 2012
Publisher: Springer New York
600 Pages
Language: eng/Englisch
Book in our database since 2012-04-17T02:16:11-04:00 (New York)
Detail page last modified on 2024-04-18T07:39:40-04:00 (New York)
ISBN/EAN: 9781461447085
ISBN - alternate spelling:
1-4614-4708-9, 978-1-4614-4708-5
Alternate spelling and related search-keywords:
Book author: chartier, allan gut
Book title: probability course, probability graduate
Information from Publisher
Author: Allan Gut
Title: Springer Texts in Statistics; Probability: A Graduate Course
Publisher: Springer; Springer US
602 Pages
Publishing year: 2012-10-17
New York; NY; US
Language: English
85,59 € (DE)
88,00 € (AT)
94,50 CHF (CH)
Available
XXVI, 602 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Central Limit Theorem; Convergence; Law of Large Numbers; Law of the Iterated Logarithm; Martingales; A; Probability Theory; Statistical Theory and Methods; Statistics; Mathematics and Statistics; Stochastik; BB
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.
From the reviews of the second edition:
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.
Covers probability from a very applied perspective Many exercises involve mathematical modeling of random phenomena in very practical fields, including insurance/actuarial and the life sciences/biomedicine Second edition comprehensively updated, including all new exercises Includes supplementary material: sn.pub/extras
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