c2t.html

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<html><head><title>Maximum likelihood estimator from correlation sums</title></head><body bgcolor="#ffffff"><h3><a name="c2d"></a>Maximum likelihood estimator from correlation sums</h3><font color=blue><tt>c2t [-o </tt><em>outfile</em><tt> -V# -h] </tt><em> file</em></font><blockquote>   <br>     <font color=blue><tt> -o  </tt></font><a href=../general.html#outfile>output file name</a>, just <font color=blue><tt> -o  </tt></font>means <font color=blue><em>file</em></font><font color=blue><tt>_t</tt></font>   <br>     <font color=blue><tt> -V  </tt></font><a href=../general.html#verbosity>verbosity level</a> (0 = only fatal errors)   <br>     <font color=blue><tt> -h  </tt></font>show this message</blockquote>Reads two columns, r, c(r) from <font color=blue><em>file</em></font> (correlation integral output of <a href="c2naive.html">c2naive</a>,<a href="c1.html">c1</a>,or <a href="../docs_c/d2.html">d2</a>)and computes a maximum likelihood estimator (<a href="../chaospaper/node31.html">Takens' estimator</a>) <pre>             C(r) D (r) = ------------  T       /r    C(x)          |  dx ----          /0     x</pre>as a function of the upper cutoff length scale. The integral is computed fromthe discrete values of C(r) by assuming an exact power law between theavailable points. Output is to <font color=blue><tt>stdout</tt></font>, or to file <font color=blue><em>file</em><tt>_t</tt></font> if <font color=blue><tt> -o</tt></font> is given.<p><a href="../contents.html">Table of Contents</a> * <a href="../../index.html" target="_top">TISEAN home</a></body></html>

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