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<H1><A NAME="SECTION001720000000000000000">&#160;</A> <A NAME="s:gen">&#160;</A>
<BR>
Basic principles of time series analysis
</H1>

<P>
The practical problems in the analysis of time series concern 
<DL COMPACT>
<DT>1.
<DD>the detection of a signal against noise,
<DT>2.
<DD>the estimation of the parameters characterizing the signal, and
<DT>3.
<DD>the presentation of the results.
</DL>
<P>
Presentation and/or evaluation of the results involves a function of
the time series called statistics. Detection of a signal, e.g. a
period, and evaluation of its properties, e.g. error and
significance, then usually mean finding and characterizing a related
signal in the associated statistics which is normally based on some
model of the signal.
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<LI><A NAME="tex2html4187"
 HREF="node223.html">Signals and their models</A>
<LI><A NAME="tex2html4188"
 HREF="node224.html">Signal detection</A>
<LI><A NAME="tex2html4189"
 HREF="node225.html">Test statistics</A>
<LI><A NAME="tex2html4190"
 HREF="node226.html">Corrections to the probability distribution</A>
<LI><A NAME="tex2html4191"
 HREF="node227.html">Power of test statistics</A>
<LI><A NAME="tex2html4192"
 HREF="node228.html">Time domain analysis</A>
<LI><A NAME="tex2html4193"
 HREF="node229.html">Presentation and inspection of results</A>
<LI><A NAME="tex2html4194"
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<ADDRESS>
<I>Petra Nass</I>
<BR><I>1999-06-15</I>
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