Example usage for org.apache.commons.math3.distribution CauchyDistribution CauchyDistribution

Introduction

In this page you can find the example usage for org.apache.commons.math3.distribution CauchyDistribution CauchyDistribution.

Prototype

public CauchyDistribution(double median, double scale) 

Source Link

Document

Creates a Cauchy distribution using the given median and scale.

Usage

From source file:adams.data.distribution.Cauchy.java

/**
 * Returns the configured distribution./*from  www .jav  a  2s .co  m*/
 *
 * @return      the distribution
 */
@Override
public RealDistribution getRealDistribution() {
    return new CauchyDistribution(m_Median, m_Scale);
}

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From source file:org.lightjason.trafficsimulation.math.EDistributionFactory.java

/**
 * generate the distribution//  w w  w.  j  a  v a  2s.c  o m
 *
 * @param p_args distribution arguments
 * @return the distribution
 */
public final AbstractRealDistribution generate(final double... p_args) {
    switch (this) {
    case BETA:
        return new BetaDistribution(p_args[0], p_args[1]);
    case CAUCHY:
        return new CauchyDistribution(p_args[0], p_args[1]);
    case CHI_SQUARED:
        return new ChiSquaredDistribution(p_args[0]);
    case EXPONENTIAL:
        return new ExponentialDistribution(p_args[0]);
    case F:
        return new FDistribution(p_args[0], p_args[1]);
    case GAMMA:
        return new GammaDistribution(p_args[0], p_args[1]);
    case GUMBEL:
        return new GumbelDistribution(p_args[0], p_args[1]);
    case LAPLACE:
        return new LaplaceDistribution(p_args[0], p_args[1]);
    case LEVY:
        return new LevyDistribution(p_args[0], p_args[1]);
    case LOGISTIC:
        return new LogisticDistribution(p_args[0], p_args[1]);
    case LOG_NORMAL:
        return new LogNormalDistribution(p_args[0], p_args[1]);
    case NAKAGAMI:
        return new NakagamiDistribution(p_args[0], p_args[1]);
    case NORMAL:
        return new NormalDistribution(p_args[0], p_args[1]);
    case PARETO:
        return new ParetoDistribution(p_args[0], p_args[1]);
    case T:
        return new TDistribution(p_args[0]);
    case TRIANGULAR:
        return new TriangularDistribution(p_args[0], p_args[1], p_args[2]);
    case UNIFORM:
        return new UniformRealDistribution(p_args[0], p_args[1]);
    case WEIBULL:
        return new WeibullDistribution(p_args[0], p_args[1]);

    default:
        throw new RuntimeException(MessageFormat.format("not set {0}", this));
    }
}

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