000 | 04311nam a22004935i 4500 | ||
---|---|---|---|
001 | 978-3-030-26006-4 | ||
003 | DE-He213 | ||
005 | 20200812131704.0 | ||
007 | cr nn 008mamaa | ||
008 | 191122s2019 gw | s |||| 0|eng d | ||
020 |
_a9783030260064 _9978-3-030-26006-4 |
||
024 | 7 |
_a10.1007/978-3-030-26006-4 _2doi |
|
040 | _cCUS | ||
050 | 4 | _aQA276-280 | |
072 | 7 |
_aPBT _2bicssc |
|
072 | 7 |
_aMAT029000 _2bisacsh |
|
072 | 7 |
_aPBT _2thema |
|
082 | 0 | 4 |
_a519.5 _223 |
100 | 1 |
_aHärdle, Wolfgang Karl. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aApplied Multivariate Statistical Analysis _h[electronic resource] / _cby Wolfgang Karl Härdle, Léopold Simar. |
250 | _a5th ed. 2019. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019. |
|
300 |
_aXII, 558 p. 443 illus., 308 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
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. | |
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 | 0 | _aStatistics . | |
650 | 0 | _aEconomics, Mathematical . | |
650 | 0 | _aEconomic theory. | |
650 | 1 | 4 |
_aStatistical Theory and Methods. _0https://scigraph.springernature.com/ontologies/product-market-codes/S11001 |
650 | 2 | 4 |
_aStatistics for Business, Management, Economics, Finance, Insurance. _0https://scigraph.springernature.com/ontologies/product-market-codes/S17010 |
650 | 2 | 4 |
_aQuantitative Finance. _0https://scigraph.springernature.com/ontologies/product-market-codes/M13062 |
650 | 2 | 4 |
_aEconomic Theory/Quantitative Economics/Mathematical Methods. _0https://scigraph.springernature.com/ontologies/product-market-codes/W29000 |
650 | 2 | 4 |
_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _0https://scigraph.springernature.com/ontologies/product-market-codes/S17020 |
700 | 1 | _aSimar, Léopold. | |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-26006-4 |
912 | _aZDB-2-SMA | ||
912 | _aZDB-2-SXMS | ||
942 | _cEBK | ||
999 |
_c205982 _d205982 |