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<html><head><title>R: Biased Cross-Validation for Bandwidth Selection</title>
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<table width="100%" summary="page for bcv {MASS}"><tr><td>bcv {MASS}</td><td align="right">R Documentation</td></tr></table>
<h2>Biased Cross-Validation for Bandwidth Selection</h2>


<h3>Description</h3>

<p>
Uses biased cross-validation to select the bandwidth of a  Gaussian
kernel density estimator.
</p>


<h3>Usage</h3>

<pre>
bcv(x, nb = 1000, lower, upper)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>x</code></td>
<td>
a numeric vector
</td></tr>
<tr valign="top"><td><code>nb</code></td>
<td>
number of bins to use.
</td></tr>
<tr valign="top"><td><code>lower, upper</code></td>
<td>
Range over which to minimize.  The default is almost always satisfactory.
</td></tr>
</table>

<h3>Value</h3>

<p>
a bandwidth</p>

<h3>References</h3>

<p>
Scott, D. W. (1992)
<EM>Multivariate Density Estimation: Theory, Practice, and Visualization.</EM>
Wiley.
</p>
<p>
Venables, W. N. and Ripley, B. D. (2002)
<EM>Modern Applied Statistics with S.</EM> Fourth edition.  Springer.
</p>


<h3>See Also</h3>

<p>
<code><a href="ucv.html">ucv</a></code>, <code><a href="width.SJ.html">width.SJ</a></code>, <code><a href="../../stats/html/density.html">density</a></code>
</p>


<h3>Examples</h3>

<pre>
bcv(geyser$duration)
</pre>



<hr><div align="center">[Package <em>MASS</em> version 7.2-44 <a href="00Index.html">Index]</a></div>

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