Overview
- Revised and updated fourth edition offers a broader range of material
- Offers a wide scope of methods and applications, making this a comprehensive treatment of the subject
- Includes a wealth of examples and exercises—ideal for students in economics and finance
- Quantlets in R and Matlab available online
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (22 chapters)
-
Front Matter
-
Descriptive Techniques
-
Front Matter
-
-
Multivariate Random Variables
-
Front Matter
-
Keywords
About this book
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields. All of the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis.
The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features:
- A new chapter on Variable Selection (Lasso, SCAD and Elastic Net)
- All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de.
The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.
Authors and Affiliations
About the authors
Wolfgang Karl Härdle is a 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.
Léopold Simar is an Emeritus Professor of Statistics at Université de Louvain, Louvain-la-Neuve, Belgium. He has been teaching mathematical statistics, multivariate analysis, bootstrap methods in statistics and econometrics in several Universities in Europe. His research focuses on non-parametric and semi-parametric methods and bootstrap techniques in statistics and econometrics. He is an elected member of the ISI and the past President of the Belgian Statistical Society. He is a regular Visiting Professor at the University of Roma, La Sapienza, Roma, Italy and at the Toulouse School of Economics, Toulouse, France.
Bibliographic Information
Book Title: Applied Multivariate Statistical Analysis
Authors: Wolfgang Karl Härdle, Léopold Simar
DOI: https://doi.org/10.1007/978-3-662-45171-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
eBook ISBN: 978-3-662-45171-7Published: 26 February 2015
Edition Number: 4
Number of Pages: XIII, 580
Number of Illustrations: 138 b/w illustrations, 83 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Quantitative Finance, Economic Theory/Quantitative Economics/Mathematical Methods, Statistical Theory and Methods