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  <titleInfo>
    <nonSort>An </nonSort>
    <title>introduction to multivariate data analysis</title>
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  <name type="personal">
    <namePart>Cox, Trevor F.</namePart>
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    <place>
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    <publisher>Hodder Arnold</publisher>
    <publisher>Distributed by Oxford University Press</publisher>
    <dateIssued>c2005</dateIssued>
    <dateIssued encoding="marc">2005</dateIssued>
    <issuance>monographic</issuance>
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  <language>
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    <extent>vii, 232 p. : ill. ; 24 cm.</extent>
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  <tableOfContents>Introduction. 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.</tableOfContents>
  <note type="statement of responsibility">Trevor F. Cox.</note>
  <note>Includes bibliographical references (p. [225]-226) and index.</note>
  <subject authority="lcsh">
    <topic>Multivariate analysis</topic>
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  <classification authority="lcc">QA278 .C698 2005</classification>
  <classification authority="ddc" edition="23">519.535 COX</classification>
  <identifier type="isbn">0340760842 (pbk.)</identifier>
  <identifier type="lccn">2006298168</identifier>
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