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<html>
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<title>
Netlab Reference Manual demgauss
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<body>
<H1> demgauss
</H1>
<h2>
Purpose
</h2>
Demonstrate sampling from Gaussian distributions.
<p><h2>
Synopsis
</h2>
<PRE>
demgauss
</PRE>
<p><h2>
Description
</h2>
<p><CODE>demgauss</CODE> provides a simple illustration of the generation of
data from Gaussian distributions. It first samples from a
one-dimensional distribution using <CODE>randn</CODE>, and then plots a
normalized histogram estimate of the distribution using <CODE>histp</CODE>
together with the true density calculated using <CODE>gauss</CODE>.
<p><CODE>demgauss</CODE> then demonstrates sampling from a Gaussian distribution
in two dimensions. It creates a mean vector and a covariance matrix,
and then plots contours of constant density using the function
<CODE>gauss</CODE>. A sample of points drawn from this distribution, obtained
using the function <CODE>gsamp</CODE>, is then superimposed on the contours.
<p><h2>
See Also
</h2>
<CODE><a href="gauss.htm">gauss</a></CODE>, <CODE><a href="gsamp.htm">gsamp</a></CODE>, <CODE><a href="histp.htm">histp</a></CODE><hr>
<b>Pages:</b>
<a href="index.htm">Index</a>
<hr>
<p>Copyright (c) Ian T Nabney (1996-9)
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