Applied Multivariate Statistical Analysis - Wolfgang Karl Härdle (Buch)

Wolfgang Karl Härdle, Léopold Simar

Applied Multivariate Statistical Analysis

Buch

Bewertung:

lieferbar innerhalb 2-3 Wochen
(soweit verfügbar beim Lieferanten)

EUR 85,33*

Versandkosten

Springer International Publishing, 12/2019
Einband: Kartoniert / Broschiert, Paperback
Sprache: Englisch
ISBN-13: 9783030260057
Bestellnummer: 10039198
Umfang: 572 Seiten
Nummer der Auflage: 19005
Auflage: 5th ed. 2019
Gewicht: 855 g
Maße: 235 x 155 mm
Stärke: 30 mm
Erscheinungstermin: 4.12.2019

Klappentext

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.

Biografie (Wolfgang Karl Härdle)

Wolfgang Karl Härdle is a Professor of Statistics at the Humboldt-Universität zu Berlin and the Director of CASE the Centre for Applied Statistics and Economics. He teaches quantitative finance and semi-parametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected member of the ISI and an advisor to the Guanghua School of Management, Peking University and to National Central University, Taiwan.