/*
* Apache License
* Version 2.0, January 2004
* http://www.apache.org/licenses/
*
* Copyright 2013 Aurelian Tutuianu
* Copyright 2014 Aurelian Tutuianu
* Copyright 2015 Aurelian Tutuianu
* Copyright 2016 Aurelian Tutuianu
*
* 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 rapaio.core.distributions;
/**
* Discrete uniform distribution
*
* @author <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a>
*/
public class DUniform implements Distribution {
private static final long serialVersionUID = -6164593855805329051L;
private final double a;
private final double b;
private final double n;
public DUniform(int a, int b) {
this.a = a;
this.b = b;
this.n = b - a + 1;
}
public boolean discrete() {
return true;
}
public int a() {
return (int) a;
}
public int b() {
return (int) b;
}
@Override
public String name() {
return String.format("DUniform(a=%d,b=%d)", (int) a, (int) b);
}
@Override
public double pdf(double x) {
double rint = Math.rint(x);
if (!Double.isNaN(x) && !Double.isInfinite(x) && x == rint) {
if (x < a || x > b) {
return 0;
}
return 1 / n;
}
return 0;
}
@Override
public double cdf(double x) {
if (x < a) {
return 0;
}
if (x > b) {
return 1;
}
return (Math.floor(x) - a + 1) / n;
}
@Override
public double quantile(double p) {
if (p < 0 || p > 1) {
throw new IllegalArgumentException("Probability must be interface the range [0,1], not " + p);
}
if (a == b) {
return a;
}
double v = a + p * n;
int vi = (int) v;
if (vi == v)
return vi - 1;
return vi;
}
@Override
public double min() {
return a;
}
@Override
public double max() {
return b;
}
@Override
public double mean() {
return (a + b) / 2;
}
@Override
public double mode() {
return Double.NaN;
}
@Override
public double var() {
return (n * n - 1) / 12.;
}
@Override
public double skewness() {
return 0;
}
@Override
public double kurtosis() {
return -6. * (n * n + 1) / (5. * (n * n - 1));
}
@Override
public double entropy() {
return Math.log(n);
}
}