<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>N.C. Matalas</dc:creator>
  <dc:date>1962</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;A&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;statistical&lt;/span&gt;&lt;span&gt;&amp;nbsp;analysis is made of the sequences of annual&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;tree&lt;/span&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;ring&lt;/span&gt;&lt;span&gt;&amp;nbsp;widths and indices. The expected value of growth during any year is shown to be proportional to the standard deviation of the growth, so that the coefficient of variation is a measure of the sensitivity of the growth of a&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;tree&lt;/span&gt;&lt;span&gt;.&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;Tree&lt;/span&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;ring&lt;/span&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;data&lt;/span&gt;&lt;span&gt;&amp;nbsp;were found to be non-randomly distributed in time. The large values of serial correlation indicated that the non-randomness cannot be attributed entirely to climatic factors. Correlogram and power spectrum analyses applied to a sequence of&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;tree&lt;/span&gt;&lt;span&gt;&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;ring&lt;/span&gt;&lt;span&gt;&amp;nbsp;indices for a pinyon pine showed that the&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;data&lt;/span&gt;&lt;span&gt;&amp;nbsp;were generated by an autoregressive process. The&amp;nbsp;&lt;/span&gt;&lt;span class="ScopusTermHighlight"&gt;statistical&lt;/span&gt;&lt;span&gt;&amp;nbsp;parameter measuring the sensitivity or complacency of growth is used to derive a growth function.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1080/02626666209493254</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Taylor &amp; Francis</dc:publisher>
  <dc:title>Statistical properties of tree ring data</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>