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    <title>topic Re: create multi-factor DOE for nonlinear response in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/create-multi-factor-DOE-for-nonlinear-response/m-p/438591#M68720</link>
    <description>&lt;P&gt;Thanks, Mark, that was helpful.&amp;nbsp; I think I came across a the key text "&lt;SPAN&gt;have a guess for the unknown parameters".&amp;nbsp; The&amp;nbsp;researcher claims to not be able to predict anything more than the&amp;nbsp;rough shape&amp;nbsp;of the response.&amp;nbsp; There's&amp;nbsp;also a language barrier, so trying to clarify almost anything has been tough.&amp;nbsp; &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;I was hoping to get lucky and find something applicable to a 'generic' 3P exponential. I had&amp;nbsp;seen in an earlier post that there needed to be as many experimental points as there were parameters.&amp;nbsp; For example, a 3 parameter exponential growth&amp;nbsp;would need 3 settings along the X-axis.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;A further complication&amp;nbsp;is the growth curve's X-axis factor&amp;nbsp;(chemistry concentration, which I neglected to list initially).&amp;nbsp; The&amp;nbsp;concentrations are expected to be different for each chemistry, because&amp;nbsp;one of the chemistries is expected to be 2x as active as the&amp;nbsp;other.&amp;nbsp; &amp;nbsp;And&amp;nbsp;the&amp;nbsp;3rd chemistry&amp;nbsp;is stronger still, therefore the asymptotes will begin in greatly&amp;nbsp;different&amp;nbsp;regions of&amp;nbsp; concentration.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thanks for making things clearer.&amp;nbsp; regards, Paul&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 19 Nov 2021 20:25:44 GMT</pubDate>
    <dc:creator>paulp</dc:creator>
    <dc:date>2021-11-19T20:25:44Z</dc:date>
    <item>
      <title>create multi-factor DOE for nonlinear response</title>
      <link>https://community.jmp.com/t5/Discussions/create-multi-factor-DOE-for-nonlinear-response/m-p/438551#M68718</link>
      <description>&lt;P&gt;Hello, I wonder if anyone has advice for how to&amp;nbsp;create a multi-factor DOE for a nonlinear response. The chemist I'm working with says he wants to model an exponential growth curve with an upper asymptote, as pictured below.&amp;nbsp; It looks to me like a 3-paramter exponential could be appropriate.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;How can I use JMP to create such a design?&amp;nbsp; Details below.&amp;nbsp; Thanks, Paul&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;He wants to compare two experimental factors, and there is one blocking factor.&lt;/P&gt;
&lt;P&gt;Factor 1: Water - Customer vs. Synthetic&lt;/P&gt;
&lt;P&gt;Factor 2: Additives:&lt;/P&gt;
&lt;TABLE width="218"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD width="64"&gt;HEDP&lt;/TD&gt;
&lt;TD width="64"&gt;PAA&lt;/TD&gt;
&lt;TD width="90"&gt;HPMA&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;Blocking:&amp;nbsp;2 sets of test equipment&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="paulp_0-1637350766768.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/37718iE4C8470F851D92A8/image-size/medium?v=v2&amp;amp;px=400" role="button" title="paulp_0-1637350766768.png" alt="paulp_0-1637350766768.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 08 Jun 2023 21:07:09 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/create-multi-factor-DOE-for-nonlinear-response/m-p/438551#M68718</guid>
      <dc:creator>paulp</dc:creator>
      <dc:date>2023-06-08T21:07:09Z</dc:date>
    </item>
    <item>
      <title>Re: create multi-factor DOE for nonlinear response</title>
      <link>https://community.jmp.com/t5/Discussions/create-multi-factor-DOE-for-nonlinear-response/m-p/438570#M68719</link>
      <description>&lt;P&gt;Please &lt;A href="https://www.jmp.com/support/help/en/16.1/#page/jmp/nonlinear-designs.shtml#" target="_self"&gt;read this explanation&lt;/A&gt; first and then return with questions.&lt;/P&gt;</description>
      <pubDate>Fri, 19 Nov 2021 19:56:03 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/create-multi-factor-DOE-for-nonlinear-response/m-p/438570#M68719</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2021-11-19T19:56:03Z</dc:date>
    </item>
    <item>
      <title>Re: create multi-factor DOE for nonlinear response</title>
      <link>https://community.jmp.com/t5/Discussions/create-multi-factor-DOE-for-nonlinear-response/m-p/438591#M68720</link>
      <description>&lt;P&gt;Thanks, Mark, that was helpful.&amp;nbsp; I think I came across a the key text "&lt;SPAN&gt;have a guess for the unknown parameters".&amp;nbsp; The&amp;nbsp;researcher claims to not be able to predict anything more than the&amp;nbsp;rough shape&amp;nbsp;of the response.&amp;nbsp; There's&amp;nbsp;also a language barrier, so trying to clarify almost anything has been tough.&amp;nbsp; &lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;I was hoping to get lucky and find something applicable to a 'generic' 3P exponential. I had&amp;nbsp;seen in an earlier post that there needed to be as many experimental points as there were parameters.&amp;nbsp; For example, a 3 parameter exponential growth&amp;nbsp;would need 3 settings along the X-axis.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;A further complication&amp;nbsp;is the growth curve's X-axis factor&amp;nbsp;(chemistry concentration, which I neglected to list initially).&amp;nbsp; The&amp;nbsp;concentrations are expected to be different for each chemistry, because&amp;nbsp;one of the chemistries is expected to be 2x as active as the&amp;nbsp;other.&amp;nbsp; &amp;nbsp;And&amp;nbsp;the&amp;nbsp;3rd chemistry&amp;nbsp;is stronger still, therefore the asymptotes will begin in greatly&amp;nbsp;different&amp;nbsp;regions of&amp;nbsp; concentration.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thanks for making things clearer.&amp;nbsp; regards, Paul&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 19 Nov 2021 20:25:44 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/create-multi-factor-DOE-for-nonlinear-response/m-p/438591#M68720</guid>
      <dc:creator>paulp</dc:creator>
      <dc:date>2021-11-19T20:25:44Z</dc:date>
    </item>
    <item>
      <title>Re: create multi-factor DOE for nonlinear response</title>
      <link>https://community.jmp.com/t5/Discussions/create-multi-factor-DOE-for-nonlinear-response/m-p/438932#M68758</link>
      <description>&lt;P&gt;I would use the example above to create a JMP data table. Then select Analyze &amp;gt; Specialized Modeling &amp;gt; Fit Curve. Enter the data columns for the Y and X analysis roles and click OK. Click the red triangle and select the exponential model that they want to use. Use these estimates as guesses in the Nonlinear Design.&lt;/P&gt;</description>
      <pubDate>Mon, 22 Nov 2021 16:37:23 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/create-multi-factor-DOE-for-nonlinear-response/m-p/438932#M68758</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2021-11-22T16:37:23Z</dc:date>
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