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    <title>topic Re: V matrix and Z matrix in mixed model in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/V-matrix-and-Z-matrix-in-mixed-model/m-p/731222#M35461</link>
    <description>See Chapter 1 of Littel et al, "SAS for Mixed Models" (or pretty much any other mixed model book). Also see the Appendix 1: "Linear Mixed Model Theory"&lt;BR /&gt;&lt;BR /&gt;In the model &lt;BR /&gt;Y = X*beta + Z*u + epsilon&lt;BR /&gt;Z is the design matrix for the random effects. G is the covariance matrix for the random effects: u ~ MVN(0,G). R is the covariance matrix for the error distribution, which is assumed to be epsilon ~ MVN(0,R).  The marginal distribution of Y is Y ~ MVN(X*beta, V), where V = Z`*G*Z + R = Var[Y].</description>
    <pubDate>Sun, 04 Apr 2021 11:30:48 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2021-04-04T11:30:48Z</dc:date>
    <item>
      <title>V matrix and Z matrix in mixed model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/V-matrix-and-Z-matrix-in-mixed-model/m-p/731173#M35456</link>
      <description>&lt;P&gt;Hello all,&lt;/P&gt;&lt;P&gt;I am looking for a source, an article or a book with examples that give me interpretation of&amp;nbsp;&lt;STRONG&gt;V&lt;/STRONG&gt; matrix and &lt;STRONG&gt;Z&lt;/STRONG&gt; matrix in&amp;nbsp;&lt;STRONG&gt;V=ZGZ'+R&amp;nbsp;&lt;/STRONG&gt;in mixed model with repeated measure, fixed and random effects. Any help will be appreciated.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 03 Apr 2021 21:08:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/V-matrix-and-Z-matrix-in-mixed-model/m-p/731173#M35456</guid>
      <dc:creator>fatemeh</dc:creator>
      <dc:date>2021-04-03T21:08:15Z</dc:date>
    </item>
    <item>
      <title>Re: V matrix and Z matrix in mixed model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/V-matrix-and-Z-matrix-in-mixed-model/m-p/731222#M35461</link>
      <description>See Chapter 1 of Littel et al, "SAS for Mixed Models" (or pretty much any other mixed model book). Also see the Appendix 1: "Linear Mixed Model Theory"&lt;BR /&gt;&lt;BR /&gt;In the model &lt;BR /&gt;Y = X*beta + Z*u + epsilon&lt;BR /&gt;Z is the design matrix for the random effects. G is the covariance matrix for the random effects: u ~ MVN(0,G). R is the covariance matrix for the error distribution, which is assumed to be epsilon ~ MVN(0,R).  The marginal distribution of Y is Y ~ MVN(X*beta, V), where V = Z`*G*Z + R = Var[Y].</description>
      <pubDate>Sun, 04 Apr 2021 11:30:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/V-matrix-and-Z-matrix-in-mixed-model/m-p/731222#M35461</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2021-04-04T11:30:48Z</dc:date>
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