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Applied Multivariate Statistical Analysis

Authors: Härdle, Wolfgang Karl, Simar, Léopold

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  • Presents multivariate statistical analysis in a comprehensive way, including the most useful approaches to multi-dimensional data
  • Features numerous examples and exercises, including real-world applications
  • Provides the underlying R and MATLAB or SAS code, equipping readers to reproduce all computations
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eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-030-26006-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-3-030-26005-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis.

For this new edition, the book has been updated and extensively revised and now includes an extended chapter on cluster analysis. All solutions to the exercises are supplemented by R and MATLAB or SAS computer code and can be downloaded from the Quantlet platform. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Härdle and Z. Hlávka: Multivariate Statistics - Exercises and Solutions.

The Quantlet platform, quantlet.de, quantlet.com, quantlet.org, is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding data-driven document-based visualization allow readers to reproduce the tables, pictures and calculations presented in this Springer book.

About the authors

Wolfgang Karl Härdle is the Ladislaus von Bortkiewicz Emeritus Professor of Statistics at the Humboldt-Universität zu Berlin, Germany. He is the spokesperson and coordinator of the IRTG 1792 “High Dimensional Non-stationary Time Series”. He is also a Professor at the Faculty of Mathematics and Physics at the Charles University in Prague, Czech Republic. 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 WISE, Xiamen University, China.

Léopold Simar is an Emeritus Professor of Statistics at UCLouvain, Louvain-la-Neuve, Belgium. He has taught mathematical statistics, multivariate analysis, bootstrap methods in statistics and econometrics at several European universities. 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, and is a regular Visiting Professor at the Sapienza University of Rome, Italy and at the Toulouse School of Economics, France.


Table of contents (22 chapters)

Table of contents (22 chapters)

Buy this book

eBook $79.99
price for USA in USD (gross)
  • ISBN 978-3-030-26006-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-3-030-26005-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Applied Multivariate Statistical Analysis
Authors
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-26006-4
DOI
10.1007/978-3-030-26006-4
Softcover ISBN
978-3-030-26005-7
Edition Number
5
Number of Pages
XII, 558
Number of Illustrations
135 b/w illustrations, 308 illustrations in colour
Topics