<?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 Re: How to fit Rayleight / folded norma distributions ? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-to-fit-Rayleight-folded-norma-distributions/m-p/848640#M102403</link>
    <description>&lt;P&gt;maybe take a look at the Gamma family of distributions, specifically the Weibull distribution.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;also, in the life distribution platform you can fit a mixture of distributions,&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot 2025-03-19 at 2.17.46 PM.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/74024iBF5077B5A2926DC7/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screenshot 2025-03-19 at 2.17.46 PM.png" alt="Screenshot 2025-03-19 at 2.17.46 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt; This data set using 10000 rows with this formula: &amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Abs&lt;SPAN&gt;( &lt;/SPAN&gt;Random Normal&lt;SPAN&gt;( &lt;/SPAN&gt;&lt;SPAN&gt;1&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;1 &lt;/SPAN&gt;&lt;SPAN&gt;) )&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Analyze&amp;gt;Reliability&amp;gt;Life Distribution, I picked the formula col for the time to event and from the red triangle picked fit mixture. &amp;nbsp;This shows up at the bottom of the report, I click Weibull twice, and then clicked Go&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot 2025-03-19 at 2.18.58 PM.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/74025iAAAEA57AE0C92DDB/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screenshot 2025-03-19 at 2.18.58 PM.png" alt="Screenshot 2025-03-19 at 2.18.58 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-jsl"&gt;Life Distribution(
	Y( :Column 3 ),
	Confidence Interval Method( Wald ),
	Interval Type( Pointwise ),
	Show Event Plot Frequency Label( 0 ),
	Fit Mixture( Mix( Weibull( 2 ), Overlapping Clusters, Show Profilers( 0 ) ) ),
	SendToReport(
		Dispatch( {"Mixture", "Overlay"}, "5", ScaleBox,
			{Format( "Fixed Dec", 12, 1 ), Min( -0.0507969202844342 ),
			Max( 1.05079692028443 ), Inc( 0.2 ), Minor Ticks( 0 )}
		),
		Dispatch( {"Mixture", "Overlay"}, "4", ScaleBox,
			{Format( "Fixed Dec", 12, 0 ), Min( -0.401614772053014 ),
			Max( 5.23133596019622 ), Inc( 1 ), Minor Ticks( 0 )}
		)
	)
);&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt; &lt;/P&gt;</description>
    <pubDate>Wed, 19 Mar 2025 18:21:40 GMT</pubDate>
    <dc:creator>Byron_JMP</dc:creator>
    <dc:date>2025-03-19T18:21:40Z</dc:date>
    <item>
      <title>How to fit Rayleight / folded norma distributions ?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-fit-Rayleight-folded-norma-distributions/m-p/848538#M102395</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is it possible to fit&amp;nbsp;Rayleight and folded normal distributions ? Just like we have the fit distribution platform, with goodness of fit metrics etc...&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;</description>
      <pubDate>Wed, 19 Mar 2025 13:30:34 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-fit-Rayleight-folded-norma-distributions/m-p/848538#M102395</guid>
      <dc:creator>SophieCuvillier</dc:creator>
      <dc:date>2025-03-19T13:30:34Z</dc:date>
    </item>
    <item>
      <title>Re: How to fit Rayleight / folded norma distributions ?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-fit-Rayleight-folded-norma-distributions/m-p/848640#M102403</link>
      <description>&lt;P&gt;maybe take a look at the Gamma family of distributions, specifically the Weibull distribution.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;also, in the life distribution platform you can fit a mixture of distributions,&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot 2025-03-19 at 2.17.46 PM.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/74024iBF5077B5A2926DC7/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screenshot 2025-03-19 at 2.17.46 PM.png" alt="Screenshot 2025-03-19 at 2.17.46 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt; This data set using 10000 rows with this formula: &amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Abs&lt;SPAN&gt;( &lt;/SPAN&gt;Random Normal&lt;SPAN&gt;( &lt;/SPAN&gt;&lt;SPAN&gt;1&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;1 &lt;/SPAN&gt;&lt;SPAN&gt;) )&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Analyze&amp;gt;Reliability&amp;gt;Life Distribution, I picked the formula col for the time to event and from the red triangle picked fit mixture. &amp;nbsp;This shows up at the bottom of the report, I click Weibull twice, and then clicked Go&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screenshot 2025-03-19 at 2.18.58 PM.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/74025iAAAEA57AE0C92DDB/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Screenshot 2025-03-19 at 2.18.58 PM.png" alt="Screenshot 2025-03-19 at 2.18.58 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-jsl"&gt;Life Distribution(
	Y( :Column 3 ),
	Confidence Interval Method( Wald ),
	Interval Type( Pointwise ),
	Show Event Plot Frequency Label( 0 ),
	Fit Mixture( Mix( Weibull( 2 ), Overlapping Clusters, Show Profilers( 0 ) ) ),
	SendToReport(
		Dispatch( {"Mixture", "Overlay"}, "5", ScaleBox,
			{Format( "Fixed Dec", 12, 1 ), Min( -0.0507969202844342 ),
			Max( 1.05079692028443 ), Inc( 0.2 ), Minor Ticks( 0 )}
		),
		Dispatch( {"Mixture", "Overlay"}, "4", ScaleBox,
			{Format( "Fixed Dec", 12, 0 ), Min( -0.401614772053014 ),
			Max( 5.23133596019622 ), Inc( 1 ), Minor Ticks( 0 )}
		)
	)
);&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt; &lt;/P&gt;</description>
      <pubDate>Wed, 19 Mar 2025 18:21:40 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-fit-Rayleight-folded-norma-distributions/m-p/848640#M102403</guid>
      <dc:creator>Byron_JMP</dc:creator>
      <dc:date>2025-03-19T18:21:40Z</dc:date>
    </item>
    <item>
      <title>Re: How to fit Rayleight / folded norma distributions ?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-fit-Rayleight-folded-norma-distributions/m-p/855350#M102649</link>
      <description>&lt;P&gt;Hello, Thank you very much for your answer, I will try to do that !&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 26 Mar 2025 09:55:59 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-fit-Rayleight-folded-norma-distributions/m-p/855350#M102649</guid>
      <dc:creator>SophieCuvillier</dc:creator>
      <dc:date>2025-03-26T09:55:59Z</dc:date>
    </item>
  </channel>
</rss>

