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); }