public void UniformDistributionConstructorTest()
{
double a = 1;
double b = 5;
ContinuousUniformDistribution target = new ContinuousUniformDistribution(a, b);
Assert.AreEqual(target.Minimum, a);
Assert.AreEqual(target.Maximum, b);
}
public void UniformDistributionConstructorTest1()
{
double a = 6;
double b = 5;
bool thrown = false;
try { ContinuousUniformDistribution target = new ContinuousUniformDistribution(a, b); }
catch (ArgumentOutOfRangeException) { thrown = true; }
Assert.IsTrue(thrown);
}
public void DistributionFunctionTest()
{
double a = -2;
double b = 2;
ContinuousUniformDistribution target = new ContinuousUniformDistribution(a, b);
double actual;
actual = target.DistributionFunction(-2);
Assert.AreEqual(0, actual);
actual = target.DistributionFunction(-1);
Assert.AreEqual(0.25, actual);
actual = target.DistributionFunction(0);
Assert.AreEqual(0.5, actual);
actual = target.DistributionFunction(1);
Assert.AreEqual(0.75, actual);
actual = target.DistributionFunction(2);
Assert.AreEqual(1, actual);
}
public void CloneTest()
{
double a = 12;
double b = 72;
ContinuousUniformDistribution target = new ContinuousUniformDistribution(a, b);
ContinuousUniformDistribution clone = (ContinuousUniformDistribution)target.Clone();
Assert.AreNotSame(target, clone);
Assert.AreEqual(target.Entropy, clone.Entropy);
Assert.AreEqual(target.Maximum, clone.Maximum);
Assert.AreEqual(target.Minimum, clone.Minimum);
Assert.AreEqual(target.StandardDeviation, clone.StandardDeviation);
Assert.AreEqual(target.Variance, clone.Variance);
}
public void FitTest()
{
ContinuousUniformDistribution target = new ContinuousUniformDistribution();
double[] observations = { -1, 2, 5, 2, 3, 1, 4 };
double[] weights = null;
target.Fit(observations, weights);
Assert.AreEqual(-1.0, target.Minimum);
Assert.AreEqual(5.0, target.Maximum);
}
public void LogProbabilityDensityFunctionTest()
{
double a = -5;
double b = 11;
ContinuousUniformDistribution target = new ContinuousUniformDistribution(a, b);
double x = 4.2;
double expected = System.Math.Log(0.0625);
double actual = target.LogProbabilityDensityFunction(x);
Assert.AreEqual(expected, actual);
x = -5;
expected = System.Math.Log(0.0625);
actual = target.LogProbabilityDensityFunction(x);
Assert.AreEqual(expected, actual);
x = -6;
expected = System.Math.Log(0.0);
actual = target.LogProbabilityDensityFunction(x);
Assert.AreEqual(expected, actual);
x = 11;
expected = System.Math.Log(0.0625);
actual = target.LogProbabilityDensityFunction(x);
Assert.AreEqual(expected, actual);
x = 12;
expected =System.Math.Log( 0.0);
actual = target.LogProbabilityDensityFunction(x);
Assert.AreEqual(expected, actual);
}
public void EntropyTest()
{
double a = 1;
double b = 6;
ContinuousUniformDistribution target = new ContinuousUniformDistribution(a, b);
double expected = System.Math.Log(b - a);
double actual = target.Entropy;
Assert.AreEqual(expected, actual);
}
public void MeanTest()
{
double a = -1;
double b = 5;
ContinuousUniformDistribution target = new ContinuousUniformDistribution(a, b);
double expected = (a + b) / 2.0;
double actual = target.Mean;
Assert.AreEqual(expected, actual);
}
public void VarianceTest()
{
double a = 5;
double b = 10;
ContinuousUniformDistribution target = new ContinuousUniformDistribution(a, b);
double actual = target.Variance;
double expected = System.Math.Pow(b - a, 2) / 12.0;
Assert.AreEqual(expected, actual);
}
