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Basics of modern mathematical statistics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Basics of modern mathematical statistics/ by Vladimir Spokoiny, Thorsten Dickhaus.
Author:	Spokoiny, Vladimir.
other author:	Dickhaus, Thorsten.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	xviii, 296 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Mathematical statistics. -
Online resource:	http://dx.doi.org/10.1007/978-3-642-39909-1
ISBN:	9783642399091 (electronic bk.)

Basics of modern mathematical statistics
Spokoiny, Vladimir.

Basics of modern mathematical statistics[electronic resource] /by Vladimir Spokoiny, Thorsten Dickhaus. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xviii, 296 p. :ill., digital ;24 cm. - Springer texts in statistics,1431-875X. - Springer texts in statistics..

Basic notions -- Parameter Estimation for an i.i.d. Model -- Regression Estimation -- Estimation in Linear Models -- Bayes Estimation -- Testing a Statistical Hypothesis -- Testing in Linear Models -- Some other Testing Methods -- Deviation Probability for Quadratic Forms.

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.

ISBN: 9783642399091 (electronic bk.)

Standard No.: 10.1007/978-3-642-39909-1doiSubjects--Topical Terms:

527941
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Basics of modern mathematical statistics
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505 0 $a Basic notions -- Parameter Estimation for an i.i.d. Model -- Regression Estimation -- Estimation in Linear Models -- Bayes Estimation -- Testing a Statistical Hypothesis -- Testing in Linear Models -- Some other Testing Methods -- Deviation Probability for Quadratic Forms.
520 $a 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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