Basics of Modern Mathematical Statistics

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software
Cover of the book Basics of Modern Mathematical Statistics by Vladimir Spokoiny, Thorsten Dickhaus, Springer Berlin Heidelberg
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Author: Vladimir Spokoiny, Thorsten Dickhaus ISBN: 9783642399091
Publisher: Springer Berlin Heidelberg Publication: October 25, 2014
Imprint: Springer Language: English
Author: Vladimir Spokoiny, Thorsten Dickhaus
ISBN: 9783642399091
Publisher: Springer Berlin Heidelberg
Publication: October 25, 2014
Imprint: Springer
Language: English

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.

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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.

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