LEADER 03288nam 2200673 a 450 001 9910822646203321 005 20240516134338.0 010 $a9786613813008 010 $a9781118391679 010 $a1118391675 010 $a9781282241886 010 $a1282241885 010 $a9781118391686 010 $a1118391683 010 $a9781118304587 010 $a1118304586 010 $a9781118391655 010 $a1118391659 035 $a(PPN)170610772 035 $a(CKB)2670000000230376 035 $a(FR-PaCSA)88813007 035 $a(MiAaPQ)EBC875890 035 $a(OCoLC)779530113 035 $a(FRCYB88813007)88813007 035 $a(Perlego)2764515 035 $a(EXLCZ)992670000000230376 100 $a20120306d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMethods of multivariate analysis /$fAlvin C. Rencher, William F. Christensen 205 $a3rd ed. 210 $aHoboken, N.J. $cWiley$dc2012 215 $a1 online resource (xxv, 758 p.) $cill 225 1 $aWiley series in probability and statistics 311 08$a9780470178966 311 08$a0470178965 320 $aIncludes bibliographical references and index. 327 $a1. Introduction; 2. Matrix Algebra; 3. Characterizing and Displaying Multivariate Data; 4. The Multivariate Normal Distribution; 5. Tests on One or Two Mean Vectors; 6. Multivariate Analysis of Variance; 7. Tests on Covariance Matrices; 8. Discriminant Analysis: Description of Group Separation; 9. Classification Analysis: Allocation of Observations to Groups; 10. Multivariate Regression; 11. Canonical Correlation; 12. Principal Component Analysis; 13. Exploratory Factor Analysis; 14. Confirmatory Factor Analysis; 15. Cluster Analysis; 16. Graphical Procedures; Appendix A: Tables; Appendix B: Answers and Hints to Problems; Appendix C: Data Sets and SAS Files; References; Index. 330 $a"This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content. Each chapter contains exercises, providing readers with the opportunity to test and extend their understanding. The new edition also presents several expanded topics in Kronecker product; prediction errors; maximum likelihood estimation; and selective key, but accessible proofs. This resource meets the needs of both statistics majors and those of students and professionals in other fields"--$cProvided by publisher. 410 0$aWiley series in probability and statistics. 606 $aMultivariate analysis 606 $aAnàlisi multivariable$2thub 608 $aLlibres electrònics$2thub 615 0$aMultivariate analysis. 615 7$aAnàlisi multivariable 676 $a519.5/35 686 $aMAT029020$2bisacsh 700 $aRencher$b Alvin C.$f1934-$0116940 701 $aChristensen$b William F.$f1970-$01651391 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822646203321 996 $aMethods of multivariate analysis$94001295 997 $aUNINA