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    <title>topic Re: Usage of Beta Binomial Distribution in Manufacturing - reference to JMP Help Info? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Usage-of-Beta-Binomial-Distribution-in-Manufacturing-reference/m-p/472462#M71720</link>
    <description>&lt;P&gt;On this page:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.jmp.com/support/help/en/15.2/index.shtml#page/jmp/discrete-fit-distributions.shtml#ww1162265" target="_blank"&gt;https://www.jmp.com/support/help/en/15.2/index.shtml#page/jmp/discrete-fit-distributions.shtml#ww1162265&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Agresti and Coull are referenced here.&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Agresti, A., and Coull, B. A. (1998). “Approximate is Better Than ‘Exact’ for Interval Estimation of Binomial Proportions.” &lt;/SPAN&gt;&lt;SPAN class="Emphasis"&gt;American Statistician&lt;/SPAN&gt;&lt;SPAN&gt; 52:119–126.&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 23 Mar 2022 20:31:03 GMT</pubDate>
    <dc:creator>Byron_JMP</dc:creator>
    <dc:date>2022-03-23T20:31:03Z</dc:date>
    <item>
      <title>Usage of Beta Binomial Distribution in Manufacturing - reference to JMP Help Info?</title>
      <link>https://community.jmp.com/t5/Discussions/Usage-of-Beta-Binomial-Distribution-in-Manufacturing-reference/m-p/286947#M55379</link>
      <description>&lt;P&gt;In JMP help under Discrete Fit Distributions, the following is mentioned:&lt;/P&gt;&lt;P&gt;&lt;EM&gt;Beta Binomial&lt;/EM&gt;&lt;/P&gt;&lt;DIV class="body"&gt;&lt;EM&gt;This distribution is useful when the data is a combination of several Binomial(p) distributions, each with a different p. One example is the overall number of defects combined from multiple manufacturing lines, when the mean number of defects (p) varies between the lines.&lt;/EM&gt;&lt;/DIV&gt;&lt;DIV class="body"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;DIV class="body"&gt;Does anyone has a reference, article, supporting this statement?&lt;/DIV&gt;&lt;DIV class="body"&gt;Kind regards&lt;/DIV&gt;</description>
      <pubDate>Sat, 10 Jun 2023 20:38:32 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Usage-of-Beta-Binomial-Distribution-in-Manufacturing-reference/m-p/286947#M55379</guid>
      <dc:creator>M_Kraus</dc:creator>
      <dc:date>2023-06-10T20:38:32Z</dc:date>
    </item>
    <item>
      <title>Re: Usage of Beta Binomial Distribution in Manufacturing - reference to JMP Help Info?</title>
      <link>https://community.jmp.com/t5/Discussions/Usage-of-Beta-Binomial-Distribution-in-Manufacturing-reference/m-p/472462#M71720</link>
      <description>&lt;P&gt;On this page:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.jmp.com/support/help/en/15.2/index.shtml#page/jmp/discrete-fit-distributions.shtml#ww1162265" target="_blank"&gt;https://www.jmp.com/support/help/en/15.2/index.shtml#page/jmp/discrete-fit-distributions.shtml#ww1162265&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Agresti and Coull are referenced here.&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Agresti, A., and Coull, B. A. (1998). “Approximate is Better Than ‘Exact’ for Interval Estimation of Binomial Proportions.” &lt;/SPAN&gt;&lt;SPAN class="Emphasis"&gt;American Statistician&lt;/SPAN&gt;&lt;SPAN&gt; 52:119–126.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 23 Mar 2022 20:31:03 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Usage-of-Beta-Binomial-Distribution-in-Manufacturing-reference/m-p/472462#M71720</guid>
      <dc:creator>Byron_JMP</dc:creator>
      <dc:date>2022-03-23T20:31:03Z</dc:date>
    </item>
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