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Mathematical and statistical methods
/*
* This file is part of the repicea-statistics library.
*
* Copyright (C) 2009-2012 Mathieu Fortin for Rouge-Epicea
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 3 of the License, or (at your option) any later version.
*
* This library is distributed with the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied
* warranty of MERCHANTABILITY or FITNESS FOR A
* PARTICULAR PURPOSE. See the GNU Lesser General Public
* License for more details.
*
* Please see the license at http://www.gnu.org/copyleft/lesser.html.
*/
package repicea.stats.distributions;
import repicea.math.Matrix;
import repicea.math.SymmetricMatrix;
import repicea.stats.CentralMomentsSettable;
import repicea.stats.Distribution;
/**
* The UnknownDistribution class is a basic distribution for which the first two moments are known (and can be set) but the
* underlying distribution remains unknown. NOTE the method getRandomObservation() always returns null for this class.
* @author Mathieu Fortin - August 2012
*/
@SuppressWarnings("serial")
public class UnknownDistribution implements Distribution, CentralMomentsSettable {
private Matrix mean;
private SymmetricMatrix variance;
@Override
public boolean isMultivariate() {
return ((Matrix) mean).m_iRows > 1;
}
@Override
public Matrix getMean() {
return mean;
}
@Override
public SymmetricMatrix getVariance() {
return variance;
}
@Override
public Type getType() {
return Type.UNKNOWN;
}
@Override
public void setMean(Matrix mean) {
this.mean = mean;
}
@Override
public void setVariance(SymmetricMatrix variance) {
this.variance = variance;
}
@Override
public boolean isParametric() {
return false;
}
@Override
public Matrix getRandomRealization() {
return null;
}
// @Override
// public double getQuantile(double... values) {
// return -1;
// }
}