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/*
 * Copyright 2017 SPZ
 *
 * Licensed 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 math.stats.distribution;

import math.rng.DefaultRng;
import math.rng.PseudoRandom;

/**
 * TODO
 * 

* https://en.wikipedia.org/wiki/Uniform_distribution_(continuous) */ public class Uniform extends AbstractContinuousDistribution { private final double a; private final double b; public Uniform(PseudoRandom prng, double a, double b) { super(prng); if (b <= a) { throw new IllegalArgumentException("b <= a"); } this.a = a; this.b = b; } public Uniform(double a, double b) { this(DefaultRng.newPseudoRandom(), a, b); } public Uniform() { this(DefaultRng.newPseudoRandom()); } public Uniform(PseudoRandom prng) { this(prng, 0.0, 1.0); } @Override public double pdf(double x) { if (x < a || x > b) { return 0.0; } return 1.0 / (b - a); } @Override public double cdf(double x) { if (x <= a) { return 0.0; } if (x >= b) { return 1.0; } return (x - a) / (b - a); } @Override public double sample() { return a + ((b - a) * prng.nextDouble()); } @Override public double mean() { return (a + b) / 2.0; } @Override public double variance() { return ((b - a) * (b - a)) / 12.0; } @Override public String toString() { return getSimpleName(a, b); } }





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