/**
* Copyright (C) 2009 - present by OpenGamma Inc. and the OpenGamma group of companies
*
* Please see distribution for license.
*/
package com.opengamma.analytics.math.statistics.estimation;
import static org.testng.AssertJUnit.assertEquals;
import org.testng.annotations.Test;
import cern.jet.random.engine.MersenneTwister;
import cern.jet.random.engine.MersenneTwister64;
import com.opengamma.analytics.math.statistics.distribution.ProbabilityDistribution;
import com.opengamma.analytics.math.statistics.distribution.StudentTDistribution;
import com.opengamma.util.test.TestGroup;
/**
* Test.
*/
@Test(groups = TestGroup.UNIT)
public class StudentTDistributionMaximumLikelihoodEstimatorTest {
private static final DistributionParameterEstimator<Double> ESTIMATOR = new StudentTDistributionMaximumLikelihoodEstimator();
@Test(expectedExceptions = IllegalArgumentException.class)
public void testNull() {
ESTIMATOR.evaluate((double[]) null);
}
@Test(expectedExceptions = IllegalArgumentException.class)
public void testEmpty() {
ESTIMATOR.evaluate(new double[0]);
}
@Test(groups = TestGroup.UNIT_SLOW)
public void test() {
final int n = 500000;
final double eps = 5e-2;
final double nu = 5.4;
final ProbabilityDistribution<Double> p1 = new StudentTDistribution(nu, new MersenneTwister64(MersenneTwister.DEFAULT_SEED));
final double[] x = new double[n];
for (int i = 0; i < n; i++) {
x[i] = p1.nextRandom();
}
final StudentTDistribution p2 = (StudentTDistribution) ESTIMATOR.evaluate(x);
assertEquals(p2.getDegreesOfFreedom(), nu, eps);
}
}