Overview
- The book provides a compact and self-contained introduction to modern mathematical statistics
- Includes exercises and solution hints
- Presents an overview of the main classical findings in mathematical statistics from a modern viewpoint
Part of the book series: Springer Texts in Statistics (STS)
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Table of contents (8 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Basics of Modern Mathematical Statistics
Authors: Vladimir Spokoiny, Thorsten Dickhaus
Series Title: Springer Texts in Statistics
DOI: https://doi.org/10.1007/978-3-642-39909-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-642-39908-4Published: 03 November 2014
Softcover ISBN: 978-3-662-51348-4Published: 22 September 2016
eBook ISBN: 978-3-642-39909-1Published: 25 October 2014
Series ISSN: 1431-875X
Series E-ISSN: 2197-4136
Edition Number: 1
Number of Pages: XVIII, 296
Number of Illustrations: 1 b/w illustrations
Topics: Statistical Theory and Methods, Probability and Statistics in Computer Science