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About this product
- DescriptionLike 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.
- Author BiographyAllan Gut is Professor of Mathematical Statistics in the Department of Mathematics at Uppsala University, Sweden.
- Author(s)Allan Gut
- PublisherSpringer-Verlag New York Inc.
- Date of Publication16/10/2012
- Series TitleSpringer Texts in Statistics
- Series Part/Volume Number75
- Place of PublicationNew York, NY
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Notebiography
- Weight1100 g
- Width155 mm
- Height235 mm
- Spine41 mm
- Edition Statement2nd ed. 2013
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