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Probability: A Graduate Course

Probability: A Graduate Course

Autorzy
Wydawnictwo Springer Nature Customer Service Center GmbH
Data wydania 01/11/2014
Wydanie Pierwsze
Liczba stron 602
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Dla profesjonalistów, specjalistów i badaczy naukowych
Język angielski
ISBN 9781489997555
Kategorie Prawdopodobieństwo i statystyka
406.43 PLN (z VAT)
$91.42 / £75.64 / €87.14 /
Produkt na zamówienie
Dostawa 5-6 tygodni
Ilość
Do schowka

Opis książki

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: "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)

Probability: A Graduate Course

Spis treści

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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