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java.lang.Objectumontreal.iro.lecuyer.gof.KernelDensity
public class KernelDensity
This class provides methods to compute a kernel density estimator from a set
of n individual observations
x0,…, xn-1, and returns its value
at m selected points. For details on how the kernel density is defined,
and how to select the kernel and the bandwidth h,
see the documentation of class
KernelDensityGen
in package randvar.
| Constructor Summary | |
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KernelDensity()
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| Method Summary | |
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static double[] |
computeDensity(EmpiricalDist dist,
ContinuousDistribution kern,
double[] Y)
Similar to method computeDensity ,
but the bandwidth h is obtained from the method
KernelDensityGen.getBaseBandwidth(dist) in package randvar. |
static double[] |
computeDensity(EmpiricalDist dist,
ContinuousDistribution kern,
double h,
double[] Y)
Given the empirical distribution dist, this method computes the kernel density estimate at each of the m points Y[j], j = 0, 1,…,(m - 1), where m is the length of Y, the kernel is kern.density(x), and the bandwidth is h. |
| Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public KernelDensity()
| Method Detail |
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public static double[] computeDensity(EmpiricalDist dist,
ContinuousDistribution kern,
double h,
double[] Y)
public static double[] computeDensity(EmpiricalDist dist,
ContinuousDistribution kern,
double[] Y)
computeDensity ,
but the bandwidth h is obtained from the method
KernelDensityGen.getBaseBandwidth(dist) in package randvar.
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SSJ V. labo. |
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