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    <title>topic Re: Sample sizing for future tolerance intervals in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Sample-sizing-for-future-tolerance-intervals/m-p/9586#M9407</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I recently co-authored a paper in Quality Engineering titled "Sample size determination strategies for normal tolerance intervals using historical data" that provides a solution to this problem by calculating values to be used in the Faulkenberry-Weeks approach.&amp;nbsp; It does not guarantee certain coverage levels but it did perform very well in numerical studies.&amp;nbsp; The norm.ss formula is available in the R package 'tolerance'.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://www.tandfonline.com/doi/full/10.1080/08982112.2015.1124279"&gt;http://www.tandfonline.com/doi/full/10.1080/08982112.2015.1124279&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Thu, 14 Apr 2016 18:02:42 GMT</pubDate>
    <dc:creator>charlesgordon</dc:creator>
    <dc:date>2016-04-14T18:02:42Z</dc:date>
    <item>
      <title>Sample sizing for future tolerance intervals</title>
      <link>https://community.jmp.com/t5/Discussions/Sample-sizing-for-future-tolerance-intervals/m-p/9583#M9404</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Is there a way to determine the appropriate sample size for a future tolerance interval, given some historical data?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;In essence, I will gather data and construct a tolerance interval (one- or two-sided) from this new data and compare the tolerance bound(s) to a specification limit.&amp;nbsp; I need the tolerance bounds to be within the spec limit.&amp;nbsp; I would like to be able to use the information from a prior sample to inform the minimum sample size.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I've written a simulation that I believe gives me the appropriate power that a given sample size will have a tolerance interval within my limits, but is there a formal way to approach this problem?&amp;nbsp; Is there a formula somewhere that uses prior estimates/errors of the mean and standard deviation to inform a future tolerance interval sample size?&amp;nbsp; Equivalently, are there formulas for power sample size calculations for percentiles?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;&lt;P&gt;Charles&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 22 Sep 2014 14:50:07 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Sample-sizing-for-future-tolerance-intervals/m-p/9583#M9404</guid>
      <dc:creator>charlesgordon</dc:creator>
      <dc:date>2014-09-22T14:50:07Z</dc:date>
    </item>
    <item>
      <title>Re: Sample sizing for future tolerance intervals</title>
      <link>https://community.jmp.com/t5/Discussions/Sample-sizing-for-future-tolerance-intervals/m-p/9584#M9405</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;A href="http://www.itl.nist.gov/div898/handbook/prc/section2/prc264.htm" title="http://www.itl.nist.gov/div898/handbook/prc/section2/prc264.htm"&gt;7.2.6.4. Tolerance intervals based on the largest and smallest observations&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 10pt; line-height: 1.5em;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="line-height: 1.5em; font-size: 10pt;"&gt;The NIST/SEMATECH e-Handbook of stats methods is a great (free) on-line &lt;/SPAN&gt;resource&lt;SPAN&gt;&lt;SPAN style="line-height: 1.5em; font-size: 10pt;"&gt; for starting to answer such questions (&lt;/SPAN&gt;&lt;A href="http://www.itl.nist.gov/div898/handbook/index.htm" style="font-size: 10pt; line-height: 1.5em;" title="http://www.itl.nist.gov/div898/handbook/index.htm"&gt;NIST/SEMATECH e-Handbook of Statistical Methods&lt;/A&gt;&lt;SPAN style="line-height: 1.5em; font-size: 10pt;"&gt;).&amp;nbsp; I have provided the link the to one of the sections on tolerance &lt;/SPAN&gt;interval&lt;SPAN style="line-height: 19px; font-size: 10pt;"&gt;s.&amp;nbsp; On that page is a link to the Hahn and Meeker book on statistical intervals in which you will find details on many types of statistical intervals, parametric and non-parametric solutions, including sample size calculations.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 22 Sep 2014 22:28:39 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Sample-sizing-for-future-tolerance-intervals/m-p/9584#M9405</guid>
      <dc:creator>KarenC</dc:creator>
      <dc:date>2014-09-22T22:28:39Z</dc:date>
    </item>
    <item>
      <title>Re: Sample sizing for future tolerance intervals</title>
      <link>https://community.jmp.com/t5/Discussions/Sample-sizing-for-future-tolerance-intervals/m-p/9585#M9406</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you, Karen.&amp;nbsp; The links are very helpful and certainly relevant.&amp;nbsp; I do not believe, however, that they specifically inform the sample size of a future tolerance interval based on historical data for a power calculation.&amp;nbsp; Maybe my problem is unique.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 25 Sep 2014 13:44:09 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Sample-sizing-for-future-tolerance-intervals/m-p/9585#M9406</guid>
      <dc:creator>charlesgordon</dc:creator>
      <dc:date>2014-09-25T13:44:09Z</dc:date>
    </item>
    <item>
      <title>Re: Sample sizing for future tolerance intervals</title>
      <link>https://community.jmp.com/t5/Discussions/Sample-sizing-for-future-tolerance-intervals/m-p/9586#M9407</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I recently co-authored a paper in Quality Engineering titled "Sample size determination strategies for normal tolerance intervals using historical data" that provides a solution to this problem by calculating values to be used in the Faulkenberry-Weeks approach.&amp;nbsp; It does not guarantee certain coverage levels but it did perform very well in numerical studies.&amp;nbsp; The norm.ss formula is available in the R package 'tolerance'.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://www.tandfonline.com/doi/full/10.1080/08982112.2015.1124279"&gt;http://www.tandfonline.com/doi/full/10.1080/08982112.2015.1124279&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 14 Apr 2016 18:02:42 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Sample-sizing-for-future-tolerance-intervals/m-p/9586#M9407</guid>
      <dc:creator>charlesgordon</dc:creator>
      <dc:date>2016-04-14T18:02:42Z</dc:date>
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