/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.commons.math4.distribution; import org.apache.commons.math4.exception.NotStrictlyPositiveException; import org.apache.commons.math4.exception.OutOfRangeException; import org.apache.commons.math4.exception.util.LocalizedFormats; import org.apache.commons.math4.util.FastMath; import org.apache.commons.math4.util.MathUtils; /** * This class implements the Gumbel distribution. * * @see <a href="http://en.wikipedia.org/wiki/Gumbel_distribution">Gumbel Distribution (Wikipedia)</a> * @see <a href="http://mathworld.wolfram.com/GumbelDistribution.html">Gumbel Distribution (Mathworld)</a> * * @since 3.4 */ public class GumbelDistribution extends AbstractRealDistribution { /** Serializable version identifier. */ private static final long serialVersionUID = 20160311L; /** * Approximation of Euler's constant * see http://mathworld.wolfram.com/Euler-MascheroniConstantApproximations.html */ private static final double EULER = FastMath.PI / (2 * FastMath.E); /** The location parameter. */ private final double mu; /** The scale parameter. */ private final double beta; /** * Creates a distribution. * * @param mu location parameter * @param beta scale parameter (must be positive) * @throws NotStrictlyPositiveException if {@code beta <= 0} */ public GumbelDistribution(double mu, double beta) { if (beta <= 0) { throw new NotStrictlyPositiveException(LocalizedFormats.SCALE, beta); } this.beta = beta; this.mu = mu; } /** * Access the location parameter, {@code mu}. * * @return the location parameter. */ public double getLocation() { return mu; } /** * Access the scale parameter, {@code beta}. * * @return the scale parameter. */ public double getScale() { return beta; } /** {@inheritDoc} */ @Override public double density(double x) { final double z = (x - mu) / beta; final double t = FastMath.exp(-z); return FastMath.exp(-z - t) / beta; } /** {@inheritDoc} */ @Override public double cumulativeProbability(double x) { final double z = (x - mu) / beta; return FastMath.exp(-FastMath.exp(-z)); } /** {@inheritDoc} */ @Override public double inverseCumulativeProbability(double p) throws OutOfRangeException { if (p < 0.0 || p > 1.0) { throw new OutOfRangeException(p, 0.0, 1.0); } else if (p == 0) { return Double.NEGATIVE_INFINITY; } else if (p == 1) { return Double.POSITIVE_INFINITY; } return mu - FastMath.log(-FastMath.log(p)) * beta; } /** {@inheritDoc} */ @Override public double getNumericalMean() { return mu + EULER * beta; } /** {@inheritDoc} */ @Override public double getNumericalVariance() { return (MathUtils.PI_SQUARED) / 6.0 * (beta * beta); } /** {@inheritDoc} */ @Override public double getSupportLowerBound() { return Double.NEGATIVE_INFINITY; } /** {@inheritDoc} */ @Override public double getSupportUpperBound() { return Double.POSITIVE_INFINITY; } /** {@inheritDoc} */ @Override public boolean isSupportConnected() { return true; } }