<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Generalized Segmented Distributions in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Generalized-Segmented-Distributions/m-p/14334#M13402</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;A former classmate of mine from Graduate School has recently published a paper on Generalized Segmented Distributions.&amp;nbsp; Utilizing this method, the distribution can approach any continuous density function of arbitrary form.&amp;nbsp; The method is particularly effective in fitting data with sufficient observations that are skewed and/or multimodal.&amp;nbsp; The paper can be found here:&lt;A href="https://www.academia.edu/11300462/The_General_Segmented_Distribution" title="https://www.academia.edu/11300462/The_General_Segmented_Distribution"&gt;The General Segmented Distribution | Mike Vander Wielen - Academia.edu&lt;/A&gt;.&amp;nbsp; This method solves the problem of a data set which doesn't seem to fit any distribution in the JMP menu.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I think this could and should be added to JMP.&amp;nbsp; Can someone get this information into the hands of the right person at SAS?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank-you!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 17 Sep 2015 18:54:46 GMT</pubDate>
    <dc:creator>Steven_Moore</dc:creator>
    <dc:date>2015-09-17T18:54:46Z</dc:date>
    <item>
      <title>Generalized Segmented Distributions</title>
      <link>https://community.jmp.com/t5/Discussions/Generalized-Segmented-Distributions/m-p/14334#M13402</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;A former classmate of mine from Graduate School has recently published a paper on Generalized Segmented Distributions.&amp;nbsp; Utilizing this method, the distribution can approach any continuous density function of arbitrary form.&amp;nbsp; The method is particularly effective in fitting data with sufficient observations that are skewed and/or multimodal.&amp;nbsp; The paper can be found here:&lt;A href="https://www.academia.edu/11300462/The_General_Segmented_Distribution" title="https://www.academia.edu/11300462/The_General_Segmented_Distribution"&gt;The General Segmented Distribution | Mike Vander Wielen - Academia.edu&lt;/A&gt;.&amp;nbsp; This method solves the problem of a data set which doesn't seem to fit any distribution in the JMP menu.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I think this could and should be added to JMP.&amp;nbsp; Can someone get this information into the hands of the right person at SAS?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thank-you!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 17 Sep 2015 18:54:46 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Generalized-Segmented-Distributions/m-p/14334#M13402</guid>
      <dc:creator>Steven_Moore</dc:creator>
      <dc:date>2015-09-17T18:54:46Z</dc:date>
    </item>
  </channel>
</rss>

