000			03338nam a22003615i 4500
003			cutn
005			20241010103048.0
008			191122s2019 gw | s |||| 0|eng d
020			_a9783030260064
020			_a9783030260057
041			_aEnglish
082			_2Switzerland : _aSpringer, Cham, _b2019.
090			_aQA276-280
100	1		_aHärdle, Wolfgang Karl.
100	1		_eauthor.
245	1	0	_aApplied Multivariate Statistical Analysis / _cby Wolfgang Karl Härdle, Léopold Simar.
250			_a5th ed. 2019.
300			_aXII, 558 p. 443 : _billus., 308 illus. in color.
505	0		_aPart I Descriptive Techniques -- 1 Comparison of Batches -- Part II Multivariate Random Variables -- 2 A Short Excursion into Matrix Algebra -- 3 Moving to Higher Dimensions -- 4 Multivariate Distributions -- 5 Theory of the Multinormal -- 6 Theory of Estimation -- 7 Hypothesis Testing -- Part III Multivariate Techniques -- 8 Regression Models -- 9 Variable Selection.-10 Decomposition of Data Matrices by Factors -- 11 Principal Components Analysis -- 12 Factor Analysis -- 13 Cluster Analysis -- 14 Discriminant Analysis -- 15 Correspondence Analysis -- 16 Canonical Correlation Analysis -- 17 Multidimensional Scaling -- 18 Conjoint Measurement Analysis -- 19 Applications in Finance -- 20 Computationally Intensive Techniques -- Part IV Appendix -- A Symbols and Notations -- B Data -- Index -- References.
506			_aOnline version restricted to NUS staff and students only through NUSNET.
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.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Internet connectivity; World Wide Web browser.
650		0	_aStatistics .
650		0	_aEconomics, Mathematical .
650		0	_aEconomic theory.
700	1		_aSimar, Léopold.
700	1		_eauthor.
776	0	8	_iPrinted edition: _z9783030260057.
776	0	8	_iPrinted edition: _z9783030260071.
942			_2ddc _cBOOKS
956	4	0	_uhttp://libproxy1.nus.edu.sg/login?url=https://doi.org/10.1007/978-3-030-26006-4
999			_c43721 _d43721