LEADER 05564nam 2200709 a 450 001 9911020270503321 005 20221108090458.0 010 $a9786612307614 010 $a9781282307612 010 $a1282307614 010 $a9780470316641 010 $a0470316640 010 $a9780470317310 010 $a0470317310 035 $a(CKB)1000000000687532 035 $a(StDuBDS)AH3916607 035 $a(SSID)ssj0000340652 035 $a(PQKBManifestationID)11265600 035 $a(PQKBTitleCode)TC0000340652 035 $a(PQKBWorkID)10388214 035 $a(PQKB)10454951 035 $a(PPN)140543651 035 $a(Perlego)2772201 035 $a(EXLCZ)991000000000687532 100 $a20050112d2004 fy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMultivariate observations /$fG.A.F. Seber 210 $aHoboken, N.J. ;$a[Great Britain] $cWiley-Interscience$dc2004 215 $a1 online resource (xx, 686 p. ) $cill 225 0 $aWiley series in probability and mathematical statistics. Multivariate observations 225 0$aWiley series in probability and statistics 300 $aFormerly CIP.$5Uk 311 08$a9780471881049 311 08$a047188104X 320 $aIncludes bibliographical references (p. 626-670) and index. 327 $aNotation. 1. Preliminaries. 2. Multivariate Distributions. 3. Inference for the Multivariate Normal. 4. Graphical and Data-Oriented Techniques. 5. Dimension Reduction and Ordination. 6. Discriminant Analysis. 7. Cluster Analysis. 8. Multivariate Linear Models. 9. Multivariate Analysis of Variance and Covariance. 10. Special Topics. Appendix A: Some Matrix Algebra. Appendix B: Orthogonal Projections. Appendix C: Order Statistics and Probability Plotting. Appendix D: Statistical Tables. Outline Solutions to Exercises. References. Index. 330 8 $a'Multivariate Observations' investigates data-oriented techniques as well as classical methods.$bWILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "In recent years many monographs have been published on specialized aspects of multivariate data-analysis-on cluster analysis, multidimensional scaling, correspondence analysis, developments of discriminant analysis, graphical methods, classification, and so on. This book is an attempt to review these newer methods together with the classical theory. . . . This one merits two cheers." -J. C. Gower, Department of Statistics Rothamsted Experimental Station, Harpenden, U.K. Review in Biometrics, June 1987 Multivariate Observations is a comprehensive sourcebook that treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high-dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. The book includes many numerical examples and over 1,100 references. WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "In recent years many monographs have been published on specialized aspects of multivariate data-analysis-on cluster analysis, multidimensional scaling, correspondence analysis, developments of discriminant analysis, graphical methods, classification, and so on. This book is an attempt to review these newer methods together with the classical theory. . . . This one merits two cheers." -J. C. Gower, Department of Statistics Rothamsted Experimental Station, Harpenden, U.K. Review in Biometrics, June 1987 Multivariate Observations is a comprehensive sourcebook that treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high-dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. The book includes many numerical examples and over 1,100 references. 606 $aMultivariate analysis 606 $aMultivariate analysis 606 $aMathematics$2HILCC 606 $aMathematical Statistics$2HILCC 606 $aPhysical Sciences & Mathematics$2HILCC 608 $aElectronic books.$2lcsh 615 0$aMultivariate analysis. 615 0$aMultivariate analysis. 615 7$aMathematics 615 7$aMathematical Statistics 615 7$aPhysical Sciences & Mathematics 676 $a519.535 700 $aSeber$b G. A. F$g(George Arthur Frederick),$f1938-$020688 801 0$bStDuBDS 801 2$bUk 801 2$bStDuBDSZ 801 2$bUkPrAHLS 906 $aBOOK 912 $a9911020270503321 996 $aMultivariate observations$9125973 997 $aUNINA