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010 _a 2006298168
015 _aGBA477560
_2bnb
016 7 _a013024099
_2Uk
020 _a0340760842 (pbk.)
024 3 _a9780340760840
035 _a(OCoLC)ocm56875145
040 _aYUS
_cYUS
_dUKM
_dIXA
_dBAKER
_dDLC
042 _apcc
050 0 0 _aQA278
_b.C698 2005
082 0 0 _a519.535 COX
_223
100 1 _aCox, Trevor F.
245 1 3 _aAn introduction to multivariate data analysis /
_cTrevor F. Cox.
260 _aLondon :
_bHodder Arnold ;
_aNew York :
_bDistributed by Oxford University Press,
_cc2005.
300 _avii, 232 p. :
_bill. ;
_c24 cm.
504 _aIncludes bibliographical references (p. [225]-226) and index.
505 _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.
650 0 _aMultivariate analysis.
856 4 1 _3Table of contents only
_uhttp://www.loc.gov/catdir/toc/fy0701/2006298168.html
856 4 2 _3Publisher description
_uhttp://www.loc.gov/catdir/enhancements/fy0722/2006298168-d.html
906 _a7
_bcbc
_cpccadap
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_f20
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