public void TestCumulativeDistribution()
{
// Standard normal.
var dist = new ZigguratGaussianDistribution(0.0, 1.0);
GaussianDistributionTestUtils.TestDistribution(dist, 0.0, 1.0);
// Non-zero mean tests.
dist = new ZigguratGaussianDistribution(10.0, 1.0);
GaussianDistributionTestUtils.TestDistribution(dist, 10.0, 1.0);
dist = new ZigguratGaussianDistribution(-100.0, 1.0);
GaussianDistributionTestUtils.TestDistribution(dist, -100.0, 1.0);
// Non-1.0 standard deviations
dist = new ZigguratGaussianDistribution(0.0, 0.2);
GaussianDistributionTestUtils.TestDistribution(dist, 0.0, 0.2);
dist = new ZigguratGaussianDistribution(0.0, 5.0);
GaussianDistributionTestUtils.TestDistribution(dist, 0.0, 5.0);
// Non-zero mean and non-1.0 standard deviation.
dist = new ZigguratGaussianDistribution(10.0, 2.0);
GaussianDistributionTestUtils.TestDistribution(dist, 10.0, 2.0);
dist = new ZigguratGaussianDistribution(-10.0, 3.0);
GaussianDistributionTestUtils.TestDistribution(dist, -10.0, 3.0);
}
public void TestSimpleStats()
{
var dist = new ZigguratGaussianDistribution();
GaussianDistributionTestUtils.TestSimpleStats(dist);
}
public void TestMean()
{
var dist = new ZigguratGaussianDistribution();
GaussianDistributionTestUtils.TestMean(dist);
}
public void TestStandardDeviation()
{
var dist = new ZigguratGaussianDistribution();
GaussianDistributionTestUtils.TestStandardDeviation(dist);
}
public void TestSimpleStats()
{
var dist = new BoxMullerGaussianDistribution();
GaussianDistributionTestUtils.TestSimpleStats(dist);
}
