net.maizegenetics.stats.statistics

Class ExponentialDistribution

GammaDistribution

net.maizegenetics.stats.statistics.ExponentialDistribution

public class ExponentialDistribution
extends GammaDistribution

exponential distribution. (Parameter: lambda; mean: 1/lambda; variance: 1/lambda^2) The exponential distribution is a special case of the Gamma distribution (shape parameter = 1.0, scale = 1/lambda).

Method Detail

pdf

public static double pdf(double x,
                         double lambda)

probability density function of the exponential distribution (mean = 1/lambda)

Parameters:

x - argument

lambda - parameter of exponential distribution

Returns:

org.jetbrains.dokka.NodeRenderContent@ba9f542: pdf value

cdf

public static double cdf(double x,
                         double lambda)

cumulative density function of the exponential distribution

Parameters:

x - argument

lambda - parameter of exponential distribution

Returns:

org.jetbrains.dokka.NodeRenderContent@6838ea80: cdf value

quantile

public static double quantile(double y,
                              double lambda)

quantile (inverse cumulative density function) of the exponential distribution

Parameters:

y - argument

lambda - parameter of exponential distribution

Returns:

org.jetbrains.dokka.NodeRenderContent@37fdf18f: icdf value

mean

public static double mean(double lambda)

mean of the exponential distribution

Parameters:

lambda - parameter of exponential distribution

Returns:

org.jetbrains.dokka.NodeRenderContent@11003987: mean

variance

public static double variance(double lambda)

variance of the exponential distribution

Parameters:

lambda - parameter of exponential distribution

Returns:

org.jetbrains.dokka.NodeRenderContent@5547cd00: variance