
stats.distributions.Normal Maven / Gradle / Ivy
/*
* Copyright (c) 2016 Jacob Rachiele
*
* Permission is hereby granted, free of charge, to any person obtaining a copy of this software
* and associated documentation files (the "Software"), to deal in the Software without restriction
* including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense
* and/or sell copies of the Software, and to permit persons to whom the Software is furnished to
* do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all copies or
* substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED
* INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
* PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
* USE OR OTHER DEALINGS IN THE SOFTWARE.
*
* Contributors:
*
* Jacob Rachiele
*/
package stats.distributions;
import lombok.EqualsAndHashCode;
import lombok.ToString;
import smile.stat.distribution.GaussianDistribution;
/**
* A Normal, or Gaussian, probability distribution.
*/
@EqualsAndHashCode @ToString
public final class Normal implements Distribution {
private final smile.stat.distribution.Distribution dist;
/**
* Create a new Normal distribution with the given mean and standard deviation.
*
* @param mean the mean of the distribution.
* @param stdev the standard deviation of the distribution.
*/
public Normal(final double mean, final double stdev) {
this.dist = new GaussianDistribution(mean, stdev);
}
/**
* Create a new standard normal distribution with mean 0 and standard deviation 1.
*/
public Normal() {
this(0, 1);
}
@Override
public final double rand() {
return this.dist.rand();
}
@Override
public final double quantile(final double prob) {
return this.dist.quantile(prob);
}
}
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