Applied Multivariate Statistical Analysis
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Beschreibung
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. von Härdle, Wolfgang Karl;Simar, Léopold;
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Über den Autor
- Hardcover -
- Oldenbourg Wissenschaftsverlag
- Hardcover -
- Erschienen 1995
- Oldenbourg Wissensch.Vlg
- Hardcover
- 768 Seiten
- Erschienen 2021
- Cengage Learning EMEA