Basics of Modern Mathematical Statistics

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 textbook...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Spokoiny, Vladimir (Autor), Dickhaus, Thorsten (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Springer Texts in Statistics,
Temas:
Statistics .
Computer science-Mathematics.
Mathematical statistics.
Statistical Theory and Methods.
Probability and Statistics in Computer Science.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Basics of Modern Mathematical Statistics  |h [electronic resource] /  |c by Vladimir Spokoiny, Thorsten Dickhaus. 
250 |a 1st ed. 2015. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2015. 
300 |a XVIII, 296 p. 1 illus.  |b online resource. 
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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. 
650 0 |a Statistics . 
650 0 |a Computer science-Mathematics. 
650 0 |a Mathematical statistics. 
650 1 4 |a Statistical Theory and Methods. 
650 2 4 |a Probability and Statistics in Computer Science. 
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950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713) 

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