Authors:
- Goes further than most similar textbooks by considering SIR techniques that are not found typically in multivariate textbooks
- Data sets discussed in the book can be downloaded and analyzed by every statistical package
- Contains hundreds of solved exercises
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (20 chapters)
-
Front Matter
-
Descriptive Techniques
-
Front Matter
-
-
Multivariate Random Variables
-
Front Matter
-
About this book
The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All data sets are included in the library SMSdata that may be downloaded via the quantlet download center www.quantlet.org. Data sets are available also via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.
Reviews
Authors and Affiliations
-
C.A.S.E. Centre f. Appl. Stat. & Econ. School of Business and Economics, Humboldt-Universität zu Berlin, Berlin, Germany
Wolfgang Karl Härdle
-
Faculty of Mathematics and Physics, Department of Statistics, Charles University in Prague, Prague, Czech Republic
Zdeněk Hlávka
About the authors
Wolfgang Karl Härdle is the Ladislaus von Bortkiewicz Professor of Statistics at the Humboldt-Universität zu Berlin and director of C.A.S.E. (Center for Applied Statistics and Economics), director of the CRC-649 (Collaborative Research Center) “Economic Risk” and director of the IRTG 1792 “High Dimensional Non-stationary Time Series”. He teaches quantitative finance and semi-parametric statistics. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected member of the ISI (International Statistical Institute) and advisor to the Guanghua School of Management, Peking University, and senior fellow of Sim Kee Boon Institute of Financial Economics at the Singapore Management University.
Zdenek Hlávka studied mathematics at the Charles University in Prague and biostatistics at Limburgs Universitair Centrum in Diepenbeek. Later he held a position at Humboldt-Universität zu Berlin before he became amember of the Department of Probability and Mathematical Statistics at Charles University in Prague.
Bibliographic Information
Book Title: Multivariate Statistics
Book Subtitle: Exercises and Solutions
Authors: Wolfgang Karl Härdle, Zdeněk Hlávka
DOI: https://doi.org/10.1007/978-3-642-36005-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Softcover ISBN: 978-3-642-36004-6Published: 12 June 2015
eBook ISBN: 978-3-642-36005-3Published: 02 June 2015
Edition Number: 2
Number of Pages: XXIV, 362
Number of Illustrations: 93 b/w illustrations, 30 illustrations in colour
Topics: Statistical Theory and Methods, Computational Mathematics and Numerical Analysis, Visualization, Data Mining and Knowledge Discovery, Computational Intelligence