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  <title><![CDATA[Statistics Seminar:Analysis of Monthly Mean Temperature Trends in U. S]]></title>
  <body><![CDATA[<p><em>Speaker</em>: <strong>Lynne Seymour</strong>, Associate Professor and Graduate Coordinator Department of Statistics, The University of Georgia 
</p>
<p><em>Title</em>: <strong> An Analysis of Monthly Mean Temperature Trends in the United States</strong> 
</p>
<p><em>Abstract</em>:  To study monthly mean temperature trends for the continental United States, we develop a periodic linear regression model with multiple changepoints, which allows for a mean shift at each changepoint time and simultaneously estimates both trend and  changepoint effects.  The error component in the model is allowed to be a periodically correlated time series.  The model is applied to  over 900 temperature recording stations across the U.S., and a  spatially smoothed map of temperature trends is presented.  Overall, the results suggest more warming than is estimated in previous studies. 
</p>
<p><a href='http://www2.isye.gatech.edu/statistics/index.php'>http://www2.isye.gatech.edu/statistics/index.php</a></p>]]></body>
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      <value><![CDATA[<strong>Xiaoming Huo</strong><br />ISyE<br /><a href="mailto:xiaoming.huo@isye.gatech.edu">Contact Xiaoming Huo</a><br /><strong>404-894-2300</strong>]]></value>
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