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  <titleInfo>
    <title>Multivariate general linear models</title>
  </titleInfo>
  <name type="personal">
    <namePart>Haase, Richard F.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Thousand Oaks, Calif</placeTerm>
    </place>
    <dateIssued>c2011</dateIssued>
    <edition>5th ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>vi, 216 pages : Illustrations ;</extent>
  </physicalDescription>
  <tableOfContents>Introduction and review of univariate general linear models -- Specifying the structure of multivariate general linear models -- Estimating the parameters of the multivariate general linear model -- Partitioning the SSCP, measures of strength of association, and test statistics -- Testing hypotheses in the multivariate general linear model -- Coding the design matrix and multivariate analysis of variance -- The eigenvalue solution ot the multivariate general linear model: canonical correlation and multivariate test statistics.</tableOfContents>
  <note>Includes index.</note>
  <subject authority="lcsh">
    <topic>Social sciences - statistical methods</topic>
  </subject>
  <subject authority="mesh">
    <topic>Multivariate Analysis</topic>
  </subject>
  <subject authority="mesh">
    <topic>Regression Analysis</topic>
  </subject>
  <classification authority="lcc">HA 31.35 HAA</classification>
  <identifier type="isbn">9781412972499 (pbk. : alk. paper)</identifier>
  <identifier type="isbn">1412972493 (pbk. : alk. paper)</identifier>
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