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Probability

A Graduate Course
BuchGebunden
602 Seiten
Englisch
Springererschienen am17.10.20122nd ed.
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 new edition is comprehensively updated, including some new material as well as around a dozen new references.mehr
Verfügbare Formate
BuchGebunden
EUR53,49
BuchKartoniert, Paperback
EUR37,44
E-BookPDF1 - PDF WatermarkE-Book
EUR85,59

Produkt

KlappentextLike 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 new edition is comprehensively updated, including some new material as well as around a dozen new references.
ZusammenfassungThis 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.
Details
ISBN/GTIN978-1-4614-4707-8
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2012
Erscheinungsdatum17.10.2012
Auflage2nd ed.
ReiheSpringer Texts in Statistics
Seiten602 Seiten
SpracheEnglisch
Gewicht1072 g
IllustrationenXXVI, 602 p.
Artikel-Nr.18044934

Inhalt/Kritik

Inhaltsverzeichnis
ââPreface 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.mehr
Kritik
From the reviews of the second edition:
"This book of over 600 pages gives a self-contained presentation of modern probability theory. This is an updated edition of an elementary introductory book on probability theory ... . Suitable as a textbook for beginning students in mathematics, statistics, computer science or economics ... . Also, it will be very useful to students and researchers in mathematics or theoretical physics." (Teodora-Liliana Radulescu, zbMATH, Vol. 1267, 2013)mehr