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100   $a20180706d2004      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMultivariate statistical methods $ea primer /$fby Bryan F.J. Manly
205   $aThird edition.
210  1$aBoca Raton, FL :$cChapman and Hall/CRC, an imprint of Taylor and Francis,$d2004.
215   $a1 online resource (xi, 209 pages) $cillustrations
225 0 $aChapman & Hall Book
300   $aPrevious edition: 2005.
311   $a1-322-63252-9 
311   $a1-4987-2897-9 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aChapter 1: The material of multivariate analysis -- Chapter 2: Matrix algebra -- Chapter 3: Displaying multivariate data -- Chapter 4: Tests of significance with multivariate data -- Chapter 5: Measuring and testing multivariate distances -- Chapter 6: Principal components analysis -- Chapter 7: Factor analysis -- Chapter 8: Discriminant function analysis -- Chapter 9: Cluster analysis --  Chapter 10: Canonical correlation analysis -- Chapter 11: Multidimensional scaling -- Chapter 12: Ordination -- Chapter 13: Epilogue.
330 3 $aMultivariate methods are now widely used in the quantitative sciences as well as in statistics because of the ready availability of computer packages for performing the calculations. While access to suitable computer software is essential to using multivariate methods, using the software still requires a working knowledge of these methods and how they can be used.Multivariate Statistical Methods: A Primer, Third Edition introduces these methods and provides a general overview of the techniques without overwhelming you with comprehensive details. This thoroughly revised, updated edition of a best-selling introductory text retains the author's trademark clear, concise style but includes a range of new material, new exercises, and supporting materials on the Web.New in the Third Edition:Fully updated referencesAdditional examples and exercises from the social and environmental sciencesA comparison of the various statistical software packages, including Stata, Statistica, SAS Minitab, and Genstat, particularly in terms of their ease of use by beginnersIn his efforts to produce a book that is as short as possible and that enables you to begin to use multivariate methods in an intelligent manner, the author has produced a succinct and handy reference. With updated information on multivariate analyses, new examples using the latest software, and updated references, this book provides a timely introduction to useful tools for statistical analysis.
606   $aMultivariate analysis
615  0$aMultivariate analysis.
676   $a519.535
700   $aManly$b Bryan F. J.$f1944-$060344
701   $aNavarro Alberto$b Jorge A.$f1963-$01249301
801  0$bOCoLC-P
801  1$bOCoLC-P
906   $aBOOK
912   $a9910149383003321
996   $aMultivariate statistical methods$92895157
997   $aUNINA