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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





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[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.

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[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).
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