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author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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wolffd@0 | 1 <html> |
wolffd@0 | 2 <head> |
wolffd@0 | 3 <title> |
wolffd@0 | 4 Netlab Reference Manual demgauss |
wolffd@0 | 5 </title> |
wolffd@0 | 6 </head> |
wolffd@0 | 7 <body> |
wolffd@0 | 8 <H1> demgauss |
wolffd@0 | 9 </H1> |
wolffd@0 | 10 <h2> |
wolffd@0 | 11 Purpose |
wolffd@0 | 12 </h2> |
wolffd@0 | 13 Demonstrate sampling from Gaussian distributions. |
wolffd@0 | 14 |
wolffd@0 | 15 <p><h2> |
wolffd@0 | 16 Synopsis |
wolffd@0 | 17 </h2> |
wolffd@0 | 18 <PRE> |
wolffd@0 | 19 demgauss |
wolffd@0 | 20 </PRE> |
wolffd@0 | 21 |
wolffd@0 | 22 |
wolffd@0 | 23 <p><h2> |
wolffd@0 | 24 Description |
wolffd@0 | 25 </h2> |
wolffd@0 | 26 |
wolffd@0 | 27 <p><CODE>demgauss</CODE> provides a simple illustration of the generation of |
wolffd@0 | 28 data from Gaussian distributions. It first samples from a |
wolffd@0 | 29 one-dimensional distribution using <CODE>randn</CODE>, and then plots a |
wolffd@0 | 30 normalized histogram estimate of the distribution using <CODE>histp</CODE> |
wolffd@0 | 31 together with the true density calculated using <CODE>gauss</CODE>. |
wolffd@0 | 32 |
wolffd@0 | 33 <p><CODE>demgauss</CODE> then demonstrates sampling from a Gaussian distribution |
wolffd@0 | 34 in two dimensions. It creates a mean vector and a covariance matrix, |
wolffd@0 | 35 and then plots contours of constant density using the function |
wolffd@0 | 36 <CODE>gauss</CODE>. A sample of points drawn from this distribution, obtained |
wolffd@0 | 37 using the function <CODE>gsamp</CODE>, is then superimposed on the contours. |
wolffd@0 | 38 |
wolffd@0 | 39 <p><h2> |
wolffd@0 | 40 See Also |
wolffd@0 | 41 </h2> |
wolffd@0 | 42 <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> |
wolffd@0 | 43 <b>Pages:</b> |
wolffd@0 | 44 <a href="index.htm">Index</a> |
wolffd@0 | 45 <hr> |
wolffd@0 | 46 <p>Copyright (c) Ian T Nabney (1996-9) |
wolffd@0 | 47 |
wolffd@0 | 48 |
wolffd@0 | 49 </body> |
wolffd@0 | 50 </html> |