Basics of Modern Mathematical Statistics (Hardcover, 2015 ed.)

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:	October 2014
First published:	2015
Authors:	Vladimir Spokoiny • Thorsten Dickhaus
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	296
Edition:	2015 ed.
ISBN-13:	978-3-642-39908-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	3-642-39908-8
Barcode:	9783642399084

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