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    <title>topic Re: correlation coefficient (Rho) in weibull distribution in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/correlation-coefficient-Rho-in-weibull-distribution/m-p/597636#M80113</link>
    <description>&lt;P&gt;Linear and median regression techniques for estimating the Weibull parameters are older methods based on the tools that were available at the time. Maximum likelihood estimates are now considered to be better. As such, there is no correlation coefficient. The likelihood can be used to compare two or more candidate models, but it cannot be used as an absolute criterion.&lt;/P&gt;</description>
    <pubDate>Mon, 06 Feb 2023 16:40:42 GMT</pubDate>
    <dc:creator>Mark_Bailey</dc:creator>
    <dc:date>2023-02-06T16:40:42Z</dc:date>
    <item>
      <title>correlation coefficient (Rho) in weibull distribution</title>
      <link>https://community.jmp.com/t5/Discussions/correlation-coefficient-Rho-in-weibull-distribution/m-p/597397#M80098</link>
      <description>&lt;P&gt;Hi, how can i get the&amp;nbsp;correlation coefficient (Rho) in Weibull distribution from JMP?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;by Life distribution i JMP, i can get Alpha and Beta which corresponding to value b, n in picture below.&amp;nbsp;&lt;/P&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;here is the definition&amp;nbsp;of&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&lt;FONT face="Verdana" size="2"&gt;Correlation Coefficient&lt;/FONT&gt;&lt;/STRONG&gt;&lt;FONT face="Verdana" size="2"&gt;&lt;BR /&gt;The correlation coefficient, usually denoted by&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;I&gt;ρ&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/I&gt;(&lt;I&gt;Rho&lt;/I&gt;), is a measure of how well the linear regression model (the probability line) fits the data. In the case of life data analysis, it is a measure of the strength of the linear relation (correlation) between the median ranks and the data. The population correlation coefficient is defined as follows:&lt;/FONT&gt;&lt;/P&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;P&gt;and here is from JMP:&amp;nbsp;&lt;A href="https://www.jmp.com/en_us/statistics-knowledge-portal/what-is-correlation/correlation-coefficient.html" target="_blank" rel="noopener"&gt;https://www.jmp.com/en_us/statistics-knowledge-portal/what-is-correlation/correlation-coefficient.html&lt;/A&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P align="center"&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 08 Jun 2023 16:38:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/correlation-coefficient-Rho-in-weibull-distribution/m-p/597397#M80098</guid>
      <dc:creator>taoc</dc:creator>
      <dc:date>2023-06-08T16:38:28Z</dc:date>
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    <item>
      <title>Re: correlation coefficient (Rho) in weibull distribution</title>
      <link>https://community.jmp.com/t5/Discussions/correlation-coefficient-Rho-in-weibull-distribution/m-p/597424#M80102</link>
      <description>&lt;P&gt;In your pic, it is rho (bottom left corner) = 0.9537. It can be calculated via rank regression.&lt;/P&gt;&lt;P&gt;&lt;A href="https://reliawiki.org/index.php/Parameter_Estimation" target="_blank"&gt;https://reliawiki.org/index.php/Parameter_Estimation&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 06 Feb 2023 09:55:06 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/correlation-coefficient-Rho-in-weibull-distribution/m-p/597424#M80102</guid>
      <dc:creator>MRB3855</dc:creator>
      <dc:date>2023-02-06T09:55:06Z</dc:date>
    </item>
    <item>
      <title>Re: correlation coefficient (Rho) in weibull distribution</title>
      <link>https://community.jmp.com/t5/Discussions/correlation-coefficient-Rho-in-weibull-distribution/m-p/597636#M80113</link>
      <description>&lt;P&gt;Linear and median regression techniques for estimating the Weibull parameters are older methods based on the tools that were available at the time. Maximum likelihood estimates are now considered to be better. As such, there is no correlation coefficient. The likelihood can be used to compare two or more candidate models, but it cannot be used as an absolute criterion.&lt;/P&gt;</description>
      <pubDate>Mon, 06 Feb 2023 16:40:42 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/correlation-coefficient-Rho-in-weibull-distribution/m-p/597636#M80113</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2023-02-06T16:40:42Z</dc:date>
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