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    <title>topic Re: Tolerance intervals method in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Tolerance-intervals-method/m-p/824121#M100358</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/47011"&gt;@scappuccio&lt;/a&gt;&amp;nbsp; &amp;nbsp;You assume correctly; the answer is no. However, I don’t know if there are plans to add that functionality in the future.&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 18 Dec 2024 06:24:51 GMT</pubDate>
    <dc:creator>MRB3855</dc:creator>
    <dc:date>2024-12-18T06:24:51Z</dc:date>
    <item>
      <title>Tolerance intervals method</title>
      <link>https://community.jmp.com/t5/Discussions/Tolerance-intervals-method/m-p/820496#M99912</link>
      <description>&lt;P&gt;Dear sir/Madam,&lt;BR /&gt;&lt;SPAN&gt;As we know that is only have two available methods are Assume Normal Distribution and Nonparametric from tolerance intervals module, If I have 30 samples data that using Fitted Weibull/lognormal distribution and the P-value is &amp;gt;0.05. How do we using Tolerance interval for Weibull and lognormal distribution?&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 04 Dec 2024 03:27:19 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Tolerance-intervals-method/m-p/820496#M99912</guid>
      <dc:creator>SengYew</dc:creator>
      <dc:date>2024-12-04T03:27:19Z</dc:date>
    </item>
    <item>
      <title>Re: Tolerance intervals method</title>
      <link>https://community.jmp.com/t5/Discussions/Tolerance-intervals-method/m-p/820536#M99921</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/59093"&gt;@SengYew&lt;/a&gt;&amp;nbsp;: If your data are Lognormal, then the natural log of the data will be normally distributed.&lt;/P&gt;
&lt;P&gt;1. If X is your data, calculate Y=ln(X): Y has a normal distribution.&lt;/P&gt;
&lt;P&gt;2. Get the desired Normal Tolerance Interval for Y.&lt;/P&gt;
&lt;P&gt;3. Back transform the interval ( exp[lower TI], exp[upper TI] ) to get the Tolerance interval back on the original X scale.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Weibull? Not so straightforward I'm afraid:&amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;See the following:&amp;nbsp;Lawless, J. F. (1975). Construction of tolerance bounds for the extreme-value and the Weibull distribution. Technometrics, 17, 255—261.&lt;/P&gt;</description>
      <pubDate>Wed, 04 Dec 2024 11:16:05 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Tolerance-intervals-method/m-p/820536#M99921</guid>
      <dc:creator>MRB3855</dc:creator>
      <dc:date>2024-12-04T11:16:05Z</dc:date>
    </item>
    <item>
      <title>Re: Tolerance intervals method</title>
      <link>https://community.jmp.com/t5/Discussions/Tolerance-intervals-method/m-p/824010#M100349</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/7073"&gt;@MRB3855&lt;/a&gt;,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Based on your above response I am assuming the answer is no - does JMP have integrated tools for construction of Weibull tolerance intervals per the paper you have referenced?&lt;/P&gt;</description>
      <pubDate>Tue, 17 Dec 2024 18:29:02 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Tolerance-intervals-method/m-p/824010#M100349</guid>
      <dc:creator>scappuccio</dc:creator>
      <dc:date>2024-12-17T18:29:02Z</dc:date>
    </item>
    <item>
      <title>Re: Tolerance intervals method</title>
      <link>https://community.jmp.com/t5/Discussions/Tolerance-intervals-method/m-p/824121#M100358</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/47011"&gt;@scappuccio&lt;/a&gt;&amp;nbsp; &amp;nbsp;You assume correctly; the answer is no. However, I don’t know if there are plans to add that functionality in the future.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 18 Dec 2024 06:24:51 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Tolerance-intervals-method/m-p/824121#M100358</guid>
      <dc:creator>MRB3855</dc:creator>
      <dc:date>2024-12-18T06:24:51Z</dc:date>
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