Package pal.statistics
Class GammaDistribution
- java.lang.Object
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- pal.statistics.GammaDistribution
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- Direct Known Subclasses:
ChiSquareDistribution,ExponentialDistribution
public class GammaDistribution extends java.lang.Objectgamma distribution. (Parameters: shape, scale; mean: scale*shape; variance: scale^2*shape)- Version:
- $Id: GammaDistribution.java,v 1.3 2001/07/13 14:39:13 korbinian Exp $
- Author:
- Korbinian Strimmer
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Constructor Summary
Constructors Constructor Description GammaDistribution()
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Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description static doublecdf(double x, double shape, double scale)cumulative density function of the Gamma distributionstatic doublemean(double shape, double scale)mean of the Gamma distributionstatic doublepdf(double x, double shape, double scale)probability density function of the Gamma distributionstatic doublequantile(double y, double shape, double scale)quantile (inverse cumulative density function) of the Gamma distributionstatic doublevariance(double shape, double scale)variance of the Gamma distribution
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Method Detail
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pdf
public static double pdf(double x, double shape, double scale)probability density function of the Gamma distribution- Parameters:
x- argumentshape- shape parameterscale- scale parameter- Returns:
- pdf value
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cdf
public static double cdf(double x, double shape, double scale)cumulative density function of the Gamma distribution- Parameters:
x- argumentshape- shape parameterscale- scale parameter- Returns:
- cdf value
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quantile
public static double quantile(double y, double shape, double scale)quantile (inverse cumulative density function) of the Gamma distribution- Parameters:
y- argumentshape- shape parameterscale- scale parameter- Returns:
- icdf value
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mean
public static double mean(double shape, double scale)mean of the Gamma distribution- Parameters:
shape- shape parameterscale- scale parameter- Returns:
- mean
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variance
public static double variance(double shape, double scale)variance of the Gamma distribution- Parameters:
shape- shape parameterscale- scale parameter- Returns:
- variance
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