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<blockquote cite="mid:4FB520BD.8020905@jlab.org" type="cite">
Jefferson Lab's Graduate Student and Post-Doc Association Wiki: <a
moz-do-not-send="true" class="moz-txt-link-freetext"
href="https://gspda.jlab.org/wiki/index.php/Main_Page">https://gspda.jlab.org/wiki/index.php/Main_Page</a><br>
Please RSVP to: <a moz-do-not-send="true"
class="moz-txt-link-abbreviated" href="mailto:patient@jlab.org">patient@jlab.org</a>
by COB on May 21, 2012. <br>
<blockquote cite="mid:4F352D43.8080609@jlab.org" type="cite"> <br>
<blockquote type="cite">
<p class="MsoPlainText" style="text-align: center;"
align="center"><span style="font-size: 12pt;">Wednesday, May
23, 2012<br>
<b><span style="color: red;">***CC F113***</span></b><br>
<span style="color: black;">12:00-1:00pm</span></span><span
style=""><br>
<br>
</span><b style=""><span style="font-size: 18pt;
font-family: "Times","serif";">Regression
in the 20th Century</span></b><b style=""><span
style="font-size: 14pt;"></span></b></p>
<p class="MsoPlainText" style="margin: 0in 9pt 0.0001pt;
text-align: center;" align="center"><span
style="font-family: "Times New
Roman","serif";"><br>
</span><b><span style="font-size: 12pt;">Jay Benesch</span></b><b><span
style=""> </span></b><span style=""><br>
</span><font face="Calibri"><span style="font-size: 12pt;">Jefferson
Lab</span></font></p>
<p class="MsoNormal" style="margin-bottom: 0.0001pt;
text-align: center; line-height: normal;" align="center"> </p>
<p class="MsoPlainText" style="text-align: justify;"> <span
style=""><br>
</span><b style=""><span style="font-size: 12pt;
font-family: "Times New
Roman","serif";">Abstract</span></b><b
style=""><span style="">:</span></b><span style=""><br>
</span><span style="font-size: 12pt; font-family:
"Times","serif";"></span>Pearson's
chi-squared test was published in 1900. It is the test for
the null hypothesis under the assumption of normality I most
often see in the physics literature. There has been much
development in statistics since 1900. In the context of my
work modeling cavity fault rates to derive the models used
in lem I will discuss some variations on least squares
regression, another test for normality, one commercial
program (JMP) and an open source packages, R (<a
moz-do-not-send="true" class="moz-txt-link-freetext"
href="http://www.r-project.org">http://www.r-project.org</a>)
I will reprise data shown in 2010 demonstrating that even
controlled cycles to 300K drop usable gradient ~0.5 MV/m,
demonstrating that all cavities will have to be plasma
processed in some manner after the long shut down. <span
style="font-size: 12pt; font-family:
"Times","serif";"></span><span
style="font-size: 12pt; font-family:
"Times","serif";"></span></p>
<p class="MsoNormal"> </p>
</blockquote>
<br>
<br>
<br>
</blockquote>
</blockquote>
<br>
<pre class="moz-signature" cols="72">--
Lorelei Carlson
User Liaison Office
Jefferson Lab
12000 Jefferson Avenue
Suite 16
Newport News, VA 23606
<a moz-do-not-send="true" class="moz-txt-link-abbreviated" href="mailto:lcarlson@jlab.org">lcarlson@jlab.org</a>
(757) 269-6388 (office)
(757) 269-6134 (fax)</pre>
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