000			01900nam a22002177a 4500
999			_c2822 _d2822
005			20220628115336.0
008			220628b ||||| |||| 00| 0 eng d
020			_a9783030260057
082			_a519.535 _bHAR
100			_aHardle, Wolfgang Karl _96948
245			_aApplied multivariate statistical analysis
250			_a5th
260			_bSpringer _aGermany _c2019
300			_axii, 558 p.
365			_aEURO _b79.99
520			_aThis 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.
650			_aMultivariate analysis _9877
650			_aMathematical statistics _9837
650			_aEconomics, Mathematical _91941
942			_2ddc _cBK