| public DistributionFunction ( int x ) : double | ||
| x | int | /// A single point in the distribution range. For a /// univariate distribution, this should be a single /// double value. For a multivariate distribution, /// this should be a double array. |
| return | double | |
public void ConstructorTest()
{
// Create a Categorical distribution for 3 symbols, in which
// the first and second symbol have 25% chance of appearing,
// and the third symbol has 50% chance of appearing.
// 1st 2nd 3rd
double[] probabilities = { 0.25, 0.25, 0.50 };
var dist = new GeneralDiscreteDistribution(probabilities);
double mean = dist.Mean; // 1.25
double median = dist.Median; // 1.00
double var = dist.Variance; // 0.6875
double cdf = dist.DistributionFunction(k: 2); // 1
double pdf1 = dist.ProbabilityMassFunction(k: 0); // 0.25
double pdf2 = dist.ProbabilityMassFunction(k: 1); // 0.25
double pdf3 = dist.ProbabilityMassFunction(k: 2); // 0.50
double lpdf = dist.LogProbabilityMassFunction(k: 2); // -0.69314718055994529
double ccdf = dist.ComplementaryDistributionFunction(k: 2); // 0.0
int icdf1 = dist.InverseDistributionFunction(p: 0.17); // 0
int icdf2 = dist.InverseDistributionFunction(p: 0.39); // 1
int icdf3 = dist.InverseDistributionFunction(p: 0.56); // 2
double hf = dist.HazardFunction(x: 0); // 0.33333333333333331
double chf = dist.CumulativeHazardFunction(x: 0); // 0.2876820724517809
string str = dist.ToString(CultureInfo.InvariantCulture); // "Categorical(x; p = { 0.25, 0.25, 0.5 })"
Assert.AreEqual(1.25, mean);
Assert.AreEqual(1.00, median);
Assert.AreEqual(0.6875, var);
Assert.AreEqual(0.2876820724517809, chf, 1e-10);
Assert.AreEqual(1.0, cdf);
Assert.AreEqual(0.25, pdf1);
Assert.AreEqual(0.25, pdf2);
Assert.AreEqual(0.5, pdf3);
Assert.AreEqual(-0.69314718055994529, lpdf);
Assert.AreEqual(0.33333333333333331, hf, 1e-10);
Assert.AreEqual(0.0, ccdf);
Assert.AreEqual(0, icdf1);
Assert.AreEqual(1, icdf2);
Assert.AreEqual(2, icdf3);
Assert.AreEqual("Categorical(x; p = { 0.25, 0.25, 0.5 })", str);
}
public void DistributionFunctionTest()
{
var target = new GeneralDiscreteDistribution(0.1, 0.4, 0.5);
double actual;
actual = target.DistributionFunction(0);
Assert.AreEqual(0.1, actual, 1e-6);
actual = target.DistributionFunction(1);
Assert.AreEqual(0.5, actual, 1e-6);
actual = target.DistributionFunction(2);
Assert.AreEqual(1.0, actual, 1e-6);
actual = target.DistributionFunction(3);
Assert.AreEqual(1.0, actual, 1e-6);
Assert.AreEqual(1.3999999, target.Mean, 1e-6);
}