Java tutorial
/* * 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.rng.sampling.distribution; import org.apache.commons.rng.UniformRandomProvider; /** * Sampling from a <a href="https://en.wikipedia.org/wiki/Pareto_distribution">Pareto distribution</a>. */ public class InverseTransformParetoSampler extends SamplerBase implements ContinuousSampler { /** Scale. */ private final double scale; /** Shape. */ private final double shape; /** * @param rng Generator of uniformly distributed random numbers. * @param scale Scale of the distribution. * @param shape Shape of the distribution. */ public InverseTransformParetoSampler(UniformRandomProvider rng, double scale, double shape) { super(rng); this.scale = scale; this.shape = shape; } /** {@inheritDoc} */ @Override public double sample() { return scale / Math.pow(nextDouble(), 1 / shape); } /** {@inheritDoc} */ @Override public String toString() { return "[Inverse method for Pareto distribution " + super.toString() + "]"; } }