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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 studies 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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1
Basics of Modern Mathematical Statistics: Exercises and Solutions
Nov 11, 2016, Springer
paperback
3662523868 9783662523865
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4
Basics of Modern Mathematical Statistics
2014, Springer London, Limited
in English
3642399096 9783642399091
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5
Basics of Modern Mathematical Statistics: Exercises and Solutions
Nov 07, 2013, Springer
hardcover
3642368492 9783642368493
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6
Basics of Modern Mathematical Statistics: Exercises and Solutions
2013, Springer London, Limited
in English
3642368506 9783642368509
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Source title: Basics of Modern Mathematical Statistics (Springer Texts in Statistics)
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