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
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