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Springer Probability: A Graduate Course (Springer Texts in Statistics)

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Description

Probability: A Graduate Course, part of the Springer Texts in Statistics series, approaches probability theory as an intimate companion to statistics rather than a purely mathematical discipline. This textbook builds a strong foundation by starting with basic tools before moving into detailed coverage of inequalities, characteristic functions, and convergence. Readers will find 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. Following discussions on generalizations and extensions, this book provides a comprehensive resource for graduate-level study in applied mathematics and statistical theory.

Key Features

Part of the Springer Texts in Statistics series, providing a professional academic resource for graduate students.

Covers essential probability theory topics including inequalities, characteristic functions, and convergence.

Provides a detailed treatment of the law of large numbers and the central limit theorem.

Includes an in-depth look at the law of the iterated logarithm and various generalizations.

Designed with the premise that probability theory serves as a close companion to the field of statistics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 October 2012
Listed Since
01 June 2012

Barcode

No barcode data available

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