Probability: A Graduate Course

Probability: A Graduate Course
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Artikel-Nr:
9781461447078
Veröffentl:
2012
Einband:
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Erscheinungsdatum:
17.10.2012
Seiten:
628
Autor:
Allan Gut
Gewicht:
1097 g
Format:
241x160x38 mm
Serie:
75, Springer Texts in Statistics
Sprache:
Englisch
Beschreibung:

Allan Gut is Professor of Mathematical Statistics in the Department of Mathematics at Uppsala University, Sweden.
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.
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 updates core material, and offers scores of new problems and exercises.
Covers probability from a very applied perspective
Preface to the First Edition.- Preface to the Second Edition.- Outline of Contents.- Notation and Symbols.- Introductory Measure Theory.- Random Variables.- Inequalities.- Characteristic Functions.- Convergence.- The Law of Large Numbers.- The Central Limit Theorem.- The Law of the Iterated Logarithm.- Limited Theorems.- Martingales.- Some Useful Mathematics.- References.- Index.

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