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010   $a1-282-88924-9
010   $a9786612889240
010   $a0-470-97319-6
010   $a0-470-97320-X
035   $a(CKB)2670000000056181
035   $a(EBL)624678
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035   $a(OCoLC)689995818
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100   $a20100625d2011      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aUnderstanding biplots /$fJohn Gower, Sugnet Lubbe, Niel le Roux
210   $aHoboken, N.J. $cWiley$d2011
215   $a1 online resource (477 p.)
300   $aDescription based upon print version of record.
311   $a0-470-01255-2 
320   $aIncludes bibliographical references and index.
327   $aUnderstanding Biplots; Contents; Preface; 1 Introduction; 2 Biplot basics; 3 Principal component analysis biplots; 4 Canonical variate analysis biplots; 5 Multidimensional scaling and nonlinear biplots; 6 Two-way tables: biadditive biplots; 7 Two-way tables: biplots associated with correspondence analysis; 8 Multiple correspondence analysis; 9 Generalized biplots; 10 Monoplots; References; Index
330   $aBiplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multivariate data matrix or the items labelling the rows and columns of a two-way table. This book aims to popularize what is now seen to be a useful and reliable method for the visualization of multidimensional data associated with, for example, principal component analysis, canonical variate analysis, multidimensional scaling, multiplicative interaction and various types of correspondence analysis.  Understanding Biplots:  Introduces th
606   $aMultivariate analysis$xGraphic methods
606   $aGraphical modeling (Statistics)
615  0$aMultivariate analysis$xGraphic methods.
615  0$aGraphical modeling (Statistics)
676   $a519.5/35
700   $aGower$b John$0165409
701   $aLubbe$b Sugnet$f1973-$0998081
701   $aLe Roux$b Niel$0998082
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910140910003321
996   $aUnderstanding biplots$92289365
997   $aUNINA