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Asymptotic theory of statistics and probability

Asymptotic theory of statistics and probability
Author(s):Anirban DasGupta
Collection:Springer Texts in Statistics
Publisher:Springer-Verlag New York
Year:2008
Language:English
Pages:747 pages
Size: 4.03 MB
Extension:PDF


[tab] [content title="Description"]This book is an encyclopedic treatment of classic as well as contemporary large sample theory, dealing with both statistical problems and probabilistic issues and tools. It is written in an extremely lucid style, with an emphasis on the conceptual discussion of the importance of a problem and the impact and relevance of the theorems. The book has 34 chapters over a wide range of topics, nearly 600 exercises for practice and instruction, and another 300 worked out examples. It also includes a large compendium of 300 useful inequalities on probability, linear algebra, and analysis that are collected together from numerous sources, as an invaluable reference for researchers in statistics, probability, and mathematics. [/content] [content title="Content"] [/content] [content title="About the author"]A Bengali who decided to get married at the age of 24 (he really couldn't wait to settle down), Anirban Dasgupta is a Kolkata-based engineer turned comedian who has made a career out of making hasty decisions (becoming a stand-up comedian being another one). [/content] [/tab]

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