Basics of Modern Mathematical Statistics

Vladimir Spokoiny, Thorsten Dickhaus (Autoren)

Buch | Softcover

XVIII, 296 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2015
Springer Berlin (Verlag)
978-3-662-51348-4 (ISBN)

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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 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.

Vladimir Spokoiny defended his PhD at the Lomonosoff State University Moscow in 1988. Since 2000 he has been the head of the research group "Nonparametric Statistics" at the Weierstrass Institute Berlin, and since 2002 he has served as a professor of Statistics and Economics at the Humboldt University Berlin. Thorsten Dickhaus received his Ph. D. from Heinrich-Heine-University Düsseldorf in 2008. After postdoc positions at the German Diabetes Center Düsseldorf and Berlin Institute of Technology, he became a junior professor of Mathematical Statistics at the Humboldt University Berlin in 2010.

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.

Erscheinungsdatum	03.08.2016
Reihe/Serie	Springer Texts in Statistics
Zusatzinfo	XVIII, 296 p. 1 illus.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
	Mathematik / Informatik ► Mathematik ► Statistik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	Coverage and Concentration • Estimators and Tests • Exponential Family • linear models • mathematics and statistics • Maximum Likelihood • Probability and Statistics in Computer Science • Statistical Theory and Methods
ISBN-10	3-662-51348-X / 366251348X
ISBN-13	978-3-662-51348-4 / 9783662513484
Zustand	Neuware