01771cam a22003494a 4500999001500000001000900015003000400024005001700028008004100045010001700086015001900103016001800122020002200140024001800162035002300180040003500203042000800238050002200246082002000268100001900288245006800307260009100375300003400466504006600500505047300566650002701039856008101066856009101147906004501238942001301283952012501296  c2837d283714536442OSt20190927124519.0060906s2005    enka     b    001 0 eng c  a  2006298168  aGBA4775602bnb7 a0130240992Uk  a0340760842 (pbk.)3 a9780340760840  a(OCoLC)ocm56875145  aYUScYUSdUKMdIXAdBAKERdDLC  apcc00aQA278b.C698 200500a519.535 COX2231 aCox, Trevor F.13aAn introduction to multivariate data analysis /cTrevor F. Cox.  aLondon :bHodder Arnold ;aNew York :bDistributed by Oxford University Press,cc2005.  avii, 232 p. :bill. ;c24 cm.  aIncludes bibliographical references (p. [225]-226) and index.  aIntroduction. Matrix algebra. Basic multivariate statistics. Graphical representation of multivariate data. Principal components analysis. Biplots. Correspondence analysis. Cluster analysis. Multidimensional scaling. Linear regression analysis. Multivariate analysis of variance. Canonical correlation analysis. Discriminant analysis and canonical variates analysis. Loglinear modelling. Factor analysis. Other latent variable models. Graphical modelling. Data mining. 0aMultivariate analysis.413Table of contents onlyuhttp://www.loc.gov/catdir/toc/fy0701/2006298168.html423Publisher descriptionuhttp://www.loc.gov/catdir/enhancements/fy0722/2006298168-d.html  a7bcbccpccadapd2encipf20gy-gencatlg  2ddccSTS  00102ddc4070844/2aAIISHbAIISHd2019-09-27l2o519.535 COXp20109r2025-01-28 00:00:00s2025-01-13w2019-09-27ySTS