Applied Multivariate Statistical Analysis

Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics, Applied
Cover of the book Applied Multivariate Statistical Analysis by Léopold Simar, Wolfgang Karl Härdle, Springer Berlin Heidelberg
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Author: Léopold Simar, Wolfgang Karl Härdle ISBN: 9783662451717
Publisher: Springer Berlin Heidelberg Publication: February 26, 2015
Imprint: Springer Language: English
Author: Léopold Simar, Wolfgang Karl Härdle
ISBN: 9783662451717
Publisher: Springer Berlin Heidelberg
Publication: February 26, 2015
Imprint: Springer
Language: English

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.

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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:

The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.

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