Basics of Modern Mathematical Statistics (Paperback, Softcover reprint of the original 1st ed. 2015)

This textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics. It collects the basic mathematical ideas and tools needed as a basis for more serious study or even independent research in statistics. The majority of existing textbooks in mathematical statistics follow the classical asymptotic framework. Yet, as modern statistics has changed rapidly in recent years, new methods and approaches have appeared. The emphasis is on finite sample behavior, large parameter dimensions, and model misspecifications. The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics. This textbook is primarily intended for graduate and postdoc students and young researchers who are interested in modern statistical methods.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Texts in Statistics
Release date:	September 2016
First published:	2015
Authors:	Vladimir Spokoiny • Thorsten Dickhaus
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	296
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-662-51348-4
Categories:	Books > Computing & IT > General Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	3-662-51348-X
Barcode:	9783662513484

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