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    <title>topic Re: Analysis of split plot DOE results in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/552988#M76812</link>
    <description>&lt;P&gt;There are a number of good books on split-plots. &amp;nbsp;I will add my suggestion for the following papers:&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;Box, G.E.P., Stephen Jones (1992), “&lt;EM&gt;Split-plot designs for robust product experimentation&lt;/EM&gt;”, &lt;U&gt;Journal of Applied Statistics&lt;/U&gt;, Vol. 19, No. 1&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;Jones, Bradley, Christopher J. Nachtsheim (2009) &lt;EM&gt;“Split-Plot Designs: What, Why, and How”,&lt;/EM&gt; &lt;U&gt;Journal of Quality Technology&lt;/U&gt;, Vol. 41, No. 4, pp. 340-361&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 05 Oct 2022 15:42:00 GMT</pubDate>
    <dc:creator>statman</dc:creator>
    <dc:date>2022-10-05T15:42:00Z</dc:date>
    <item>
      <title>Analysis of split plot DOE results</title>
      <link>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/552768#M76799</link>
      <description>&lt;P&gt;In analysis of a (split) split plot REML as well as Generalized regression is used, which anaysis method is preferred?&lt;/P&gt;</description>
      <pubDate>Thu, 08 Jun 2023 21:12:10 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/552768#M76799</guid>
      <dc:creator>frankderuyck</dc:creator>
      <dc:date>2023-06-08T21:12:10Z</dc:date>
    </item>
    <item>
      <title>Re: Analysis of split plot DOE results</title>
      <link>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/552780#M76801</link>
      <description>&lt;P&gt;REML is recommended as you should include a random effect for whole plot to capture the variance between whole plots. I recommend the book, Optimal Design Of Experiments: A Case Study Approach, for a more detailed explanation of this and some good examples of split plot and split-split plot experiments.&lt;/P&gt;</description>
      <pubDate>Wed, 05 Oct 2022 10:11:35 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/552780#M76801</guid>
      <dc:creator>Phil_Kay</dc:creator>
      <dc:date>2022-10-05T10:11:35Z</dc:date>
    </item>
    <item>
      <title>Re: Analysis of split plot DOE results</title>
      <link>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/552988#M76812</link>
      <description>&lt;P&gt;There are a number of good books on split-plots. &amp;nbsp;I will add my suggestion for the following papers:&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;Box, G.E.P., Stephen Jones (1992), “&lt;EM&gt;Split-plot designs for robust product experimentation&lt;/EM&gt;”, &lt;U&gt;Journal of Applied Statistics&lt;/U&gt;, Vol. 19, No. 1&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;Jones, Bradley, Christopher J. Nachtsheim (2009) &lt;EM&gt;“Split-Plot Designs: What, Why, and How”,&lt;/EM&gt; &lt;U&gt;Journal of Quality Technology&lt;/U&gt;, Vol. 41, No. 4, pp. 340-361&lt;/P&gt;
&lt;P style="font-weight: 400;"&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 05 Oct 2022 15:42:00 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/552988#M76812</guid>
      <dc:creator>statman</dc:creator>
      <dc:date>2022-10-05T15:42:00Z</dc:date>
    </item>
    <item>
      <title>Re: Analysis of split plot DOE results</title>
      <link>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/553107#M76819</link>
      <description>&lt;P&gt;I have this great &amp;amp; very helpful) book;&amp;nbsp; I read on p. 236 related to the spit plot wind tunnel experiment that Brad &amp;amp; Peter are usign generalized least squares for the analysis. I have tried this but got an error message claiming that generalized regression analysis does not accept (whole plot) random effects?&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 05 Oct 2022 19:12:09 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/553107#M76819</guid>
      <dc:creator>frankderuyck</dc:creator>
      <dc:date>2022-10-05T19:12:09Z</dc:date>
    </item>
    <item>
      <title>Re: Analysis of split plot DOE results</title>
      <link>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/554495#M76914</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/283"&gt;@frankderuyck&lt;/a&gt;,&lt;/P&gt;
&lt;P&gt;"Generalized least squares analysis" and the &lt;A href="https://www.jmp.com/support/help/en/16.2/index.shtml#page/jmp/generalized-regression-models.shtml#" target="_self"&gt;Generalized Regression&lt;/A&gt; platform in JMP Pro are not the same thing. The generalized least squares analysis in the Goos &amp;amp; Jones split plot case study would be carried out in JMP in &lt;A href="https://www.jmp.com/support/help/en/16.2/index.shtml#page/jmp/launch-the-standard-least-squares-personality.shtml#" target="_self"&gt;Fit Model using Standard Least Squares personality&lt;/A&gt; and &lt;A href="https://www.jmp.com/support/help/en/16.2/index.shtml#page/jmp/restricted-maximum-likelihood-reml-method.shtml#" target="_self"&gt;REML method&lt;/A&gt;. You can find more detail about generalized least squares analysis on page 243 of the book.&lt;/P&gt;
&lt;P&gt;I hope that helps,&lt;/P&gt;
&lt;P&gt;Phil&lt;/P&gt;</description>
      <pubDate>Mon, 10 Oct 2022 17:48:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Analysis-of-split-plot-DOE-results/m-p/554495#M76914</guid>
      <dc:creator>Phil_Kay</dc:creator>
      <dc:date>2022-10-10T17:48:28Z</dc:date>
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