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Basics of modern mathematical statis...

Dickhaus, Thorsten.

Basics of modern mathematical statistics[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.5
書名/作者:	Basics of modern mathematical statistics/ by Vladimir Spokoiny, Thorsten Dickhaus.
作者:	Spokoiny, Vladimir.
其他作者:	Dickhaus, Thorsten.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2015.
面頁冊數:	xviii, 296 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Mathematical statistics.
標題:	Statistics.
標題:	Statistical Theory and Methods.
標題:	Probability and Statistics in Computer Science.
ISBN:	9783642399091 (electronic bk.)
ISBN:	9783642399084 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-642-39909-1

Basics of modern mathematical statistics[electronic resource] /
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:

171875
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Basics of modern mathematical statistics[electronic resource] /
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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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650 2 4 $a Probability and Statistics in Computer Science. $3 468089
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