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<html><head><title>Netlab Reference Manual demgauss</title></head><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 ofdata from Gaussian distributions. It first samples from aone-dimensional distribution using <CODE>randn</CODE>, and then plots anormalized 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 distributionin 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, obtainedusing 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)</body></html>⌨️ 快捷键说明
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