000 02926nam a2200373Ia 4500
001 4295
003 BD-DhEWU
005 20171206120118.0
008 160516s2015 -gea g b 001 0 eng d
020 _a9783642360046
020 _a3642360041
035 _a(OCLC)910914054
040 _aBD-DhEWU
_dBD-DhEWU
_beng
_cBD-DhEWU
041 _aeng
082 0 4 _a519.535
_bHAM 2015
100 1 _aHärdle,Wolfgang.
_920179
245 1 0 _aMultivariate statistics :
_bexercises and solutions /
_cWolfgang Karl Härdle and Zdeněk Hlávka.
250 _a2nd ed.
260 _aHeidelberg :
_bSpringer,
_c2015.
300 _axxiv, 362 p. :
_bill. ;
_c24 cm.
504 _aIncludes Bibliographical References and Index.
505 _tTOC
_aPart I Descriptive Techniques: Comparison of Batches -- Part II Multivariate Random Variables: A Short Excursion into Matrix Algebra -- Moving to Higher -- Multivariate -- Theory of the Multinormal -- Theory of Estimation -- Part III Multivariate Techniques: Regression Models -- Variable Selection -- Decomposition of Data Matrices by Factors -- Principal Component Analysis -- Factor Analysis -- Cluster Analysis -- Discriminant Analysis -- Correspondence Analysis -- Canonical Correlation Analysis -- Multidimensional Scaling -- Conjoint Measurement Analysis -- Applications in Finance -- Highly Interactive, Computationally Intensive Techniques -- Data Sets -- References -- Index.
520 _aThe authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical situations. The last part introduces a wide variety of exercises in applied multivariate data analysis. The book demonstrates the application of simple calculus and basic multivariate methods in real life situations. It contains altogether more than 250 solved exercises which can assist a university teacher in setting up a modern multivariate analysis course. All computer-based exercises are available in the R language. All R codes and data sets may be downloaded via the quantlet download center www.quantlet.org or via the Springer webpage. For interactive display of low-dimensional projections of a multivariate data set, we recommend GGobi.
526 _aAS
590 _aSagar Shahanawaz
650 _aMultivariate analysis.
_920180
650 _aStatistical Theory and Methods.
_920181
650 _aComputational Mathematics and Numerical Analysis.
_920182
700 1 _aHlávka, Zdeněk.
_920183
856 4 2 _3WorldCat details
_uhttp://www.worldcat.org/title/multivariate-statistics-exercises-and-solutions/oclc/910914054&referer=brief_results
856 4 2 _3Ebook Fulltext
_uhttp://lib.ewubd.edu/ebook/4295
942 _cTEXT
_2ddc
999 _c4295
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