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    <title>topic How to fit a model with random effect using Nonlinear platform in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-to-fit-a-model-with-random-effect-using-Nonlinear-platform/m-p/909829#M106859</link>
    <description>&lt;P&gt;May I ask a question:&lt;/P&gt;
&lt;P&gt;In “Random Effect Model.jmp”, where the response is Y, X is a fixed effect, and Z is a random effect, how to fit the corresponding model using “Nonlinear” Platform?&lt;/P&gt;
&lt;P&gt;"Example 23.13" in the book “Statistical Methods for Reliability Data, Second Edition” is an example of accelerated life test data analysis that includes random effect，I don't know how to perform the analysis, I want to first learn how to fit a model with random effect using the Nonlinear Platform.&lt;/P&gt;</description>
    <pubDate>Sun, 26 Oct 2025 11:09:02 GMT</pubDate>
    <dc:creator>Rily_Maya</dc:creator>
    <dc:date>2025-10-26T11:09:02Z</dc:date>
    <item>
      <title>How to fit a model with random effect using Nonlinear platform</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-fit-a-model-with-random-effect-using-Nonlinear-platform/m-p/909829#M106859</link>
      <description>&lt;P&gt;May I ask a question:&lt;/P&gt;
&lt;P&gt;In “Random Effect Model.jmp”, where the response is Y, X is a fixed effect, and Z is a random effect, how to fit the corresponding model using “Nonlinear” Platform?&lt;/P&gt;
&lt;P&gt;"Example 23.13" in the book “Statistical Methods for Reliability Data, Second Edition” is an example of accelerated life test data analysis that includes random effect，I don't know how to perform the analysis, I want to first learn how to fit a model with random effect using the Nonlinear Platform.&lt;/P&gt;</description>
      <pubDate>Sun, 26 Oct 2025 11:09:02 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-fit-a-model-with-random-effect-using-Nonlinear-platform/m-p/909829#M106859</guid>
      <dc:creator>Rily_Maya</dc:creator>
      <dc:date>2025-10-26T11:09:02Z</dc:date>
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