02617nam 2200565 a 450 991014091000332120200520144314.01-282-88924-997866128892400-470-97319-60-470-97320-X(CKB)2670000000056181(EBL)624678(SSID)ssj0000403418(PQKBManifestationID)11280189(PQKBTitleCode)TC0000403418(PQKBWorkID)10433201(PQKB)10887728(MiAaPQ)EBC624678(OCoLC)689995818(EXLCZ)99267000000005618120100625d2011 uy 0engur|n|---|||||txtccrUnderstanding biplots /John Gower, Sugnet Lubbe, Niel le RouxHoboken, N.J. Wiley20111 online resource (477 p.)Description based upon print version of record.0-470-01255-2 Includes bibliographical references and index.Understanding 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; IndexBiplots 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 thMultivariate analysisGraphic methodsGraphical modeling (Statistics)Multivariate analysisGraphic methods.Graphical modeling (Statistics)519.5/35Gower John165409Lubbe Sugnet1973-998081Le Roux Niel998082MiAaPQMiAaPQMiAaPQBOOK9910140910003321Understanding biplots2289365UNINA