public void CumulativeFunctionTest()
{
var p1 = new NormalDistribution(4.2, 1);
var p2 = new NormalDistribution(7.0, 2);
Independent <NormalDistribution> target = new Independent <NormalDistribution>(p1, p2);
double[] x;
double actual, expected;
x = new double[] { 4.2, 7.0 };
actual = target.DistributionFunction(x);
expected = p1.DistributionFunction(x[0]) * p2.DistributionFunction(x[1]);
Assert.AreEqual(expected, actual);
x = new double[] { 0.0, 0.0 };
actual = target.DistributionFunction(x);
expected = p1.DistributionFunction(x[0]) * p2.DistributionFunction(x[1]);
Assert.AreEqual(expected, actual);
x = new double[] { 7.0, 4.2 };
actual = target.DistributionFunction(x);
expected = p1.DistributionFunction(x[0]) * p2.DistributionFunction(x[1]);
Assert.AreEqual(expected, actual);
}
public void CumulativeFunctionTest()
{
var p1 = new NormalDistribution(4.2, 1);
var p2 = new NormalDistribution(7.0, 2);
Independent<NormalDistribution> target = new Independent<NormalDistribution>(p1, p2);
double[] x;
double actual, expected;
x = new double[] { 4.2, 7.0 };
actual = target.DistributionFunction(x);
expected = p1.DistributionFunction(x[0]) * p2.DistributionFunction(x[1]);
Assert.AreEqual(expected, actual);
x = new double[] { 0.0, 0.0 };
actual = target.DistributionFunction(x);
expected = p1.DistributionFunction(x[0]) * p2.DistributionFunction(x[1]);
Assert.AreEqual(expected, actual);
x = new double[] { 7.0, 4.2 };
actual = target.DistributionFunction(x);
expected = p1.DistributionFunction(x[0]) * p2.DistributionFunction(x[1]);
Assert.AreEqual(expected, actual);
}