public void ConstructorTest()
{
// Create a Geometric distribution with 42% success probability
var dist = new GeometricDistribution(probabilityOfSuccess: 0.42);
double mean = dist.Mean; // 1.3809523809523812
double median = dist.Median; // 1
double var = dist.Variance; // 3.2879818594104315
double mode = dist.Mode; // 0
double cdf = dist.DistributionFunction(k: 2); // 0.80488799999999994
double ccdf = dist.ComplementaryDistributionFunction(k: 2); // 0.19511200000000006
double pdf1 = dist.ProbabilityMassFunction(k: 0); // 0.42
double pdf2 = dist.ProbabilityMassFunction(k: 1); // 0.2436
double pdf3 = dist.ProbabilityMassFunction(k: 2); // 0.141288
double lpdf = dist.LogProbabilityMassFunction(k: 2); // -1.956954918588067
int icdf1 = dist.InverseDistributionFunction(p: 0.17); // 0
int icdf2 = dist.InverseDistributionFunction(p: 0.46); // 1
int icdf3 = dist.InverseDistributionFunction(p: 0.87); // 3
double hf = dist.HazardFunction(x: 0); // 0.72413793103448265
double chf = dist.CumulativeHazardFunction(x: 0); // 0.54472717544167193
string str = dist.ToString(CultureInfo.InvariantCulture); // "Geometric(x; p = 0.42)"
Assert.AreEqual(1.3809523809523812, mean);
Assert.AreEqual(1, median);
Assert.AreEqual(0, mode);
Assert.AreEqual(3.2879818594104315, var);
Assert.AreEqual(0.54472717544167193, chf, 1e-10);
Assert.AreEqual(0.80488799999999994, cdf);
Assert.AreEqual(0.42, pdf1);
Assert.AreEqual(0.2436, pdf2);
Assert.AreEqual(0.14128800000000002, pdf3);
Assert.AreEqual(-1.956954918588067, lpdf);
Assert.AreEqual(0.72413793103448265, hf);
Assert.AreEqual(0.19511200000000006, ccdf);
Assert.AreEqual(0, icdf1);
Assert.AreEqual(1, icdf2);
Assert.AreEqual(3, icdf3);
Assert.AreEqual("Geometric(x; p = 0.42)", str);
var range1 = dist.GetRange(0.95);
var range2 = dist.GetRange(0.99);
var range3 = dist.GetRange(0.01);
Assert.AreEqual(0, range1.Min);
Assert.AreEqual(5, range1.Max);
Assert.AreEqual(0, range2.Min);
Assert.AreEqual(8, range2.Max);
Assert.AreEqual(0, range3.Min);
Assert.AreEqual(8, range3.Max);
}
public void ConstructorTest()
{
// Create a Geometric distribution with 42% success probability
var dist = new GeometricDistribution(probabilityOfSuccess: 0.42);
double mean = dist.Mean; // 1.3809523809523812
double median = dist.Median; // 1
double var = dist.Variance; // 3.2879818594104315
double mode = dist.Mode; // 0
double cdf = dist.DistributionFunction(k: 2); // 0.80488799999999994
double ccdf = dist.ComplementaryDistributionFunction(k: 2); // 0.19511200000000006
double pdf1 = dist.ProbabilityMassFunction(k: 0); // 0.42
double pdf2 = dist.ProbabilityMassFunction(k: 1); // 0.2436
double pdf3 = dist.ProbabilityMassFunction(k: 2); // 0.141288
double lpdf = dist.LogProbabilityMassFunction(k: 2); // -1.956954918588067
int icdf1 = dist.InverseDistributionFunction(p: 0.17); // 0
int icdf2 = dist.InverseDistributionFunction(p: 0.46); // 1
int icdf3 = dist.InverseDistributionFunction(p: 0.87); // 3
double hf = dist.HazardFunction(x: 0); // 0.72413793103448265
double chf = dist.CumulativeHazardFunction(x: 0); // 0.54472717544167193
string str = dist.ToString(CultureInfo.InvariantCulture); // "Geometric(x; p = 0.42)"
Assert.AreEqual(1.3809523809523812, mean);
Assert.AreEqual(1, median);
Assert.AreEqual(0, mode);
Assert.AreEqual(3.2879818594104315, var);
Assert.AreEqual(0.54472717544167193, chf, 1e-10);
Assert.AreEqual(0.80488799999999994, cdf);
Assert.AreEqual(0.42, pdf1);
Assert.AreEqual(0.2436, pdf2);
Assert.AreEqual(0.14128800000000002, pdf3);
Assert.AreEqual(-1.956954918588067, lpdf);
Assert.AreEqual(0.72413793103448265, hf);
Assert.AreEqual(0.19511200000000006, ccdf);
Assert.AreEqual(0, icdf1);
Assert.AreEqual(1, icdf2);
Assert.AreEqual(3, icdf3);
Assert.AreEqual("Geometric(x; p = 0.42)", str);
var range1 = dist.GetRange(0.95);
var range2 = dist.GetRange(0.99);
var range3 = dist.GetRange(0.01);
Assert.AreEqual(0, range1.Min);
Assert.AreEqual(5, range1.Max);
Assert.AreEqual(0, range2.Min);
Assert.AreEqual(8, range2.Max);
Assert.AreEqual(0, range3.Min);
Assert.AreEqual(8, range3.Max);
}
public void DistributionFunctionTest()
{
double successProbability = 0.42;
GeometricDistribution target = new GeometricDistribution(successProbability);
double[] values = { -1, 0, 1, 2, 3, 4, 5 };
double[] expected = { 0, 0.42, 0.6636, 0.804888, 0.88683504, 0.9343643232, 0.961931307456 };
for (int i = 0; i < values.Length; i++)
{
double actual = target.DistributionFunction(i - 1);
Assert.AreEqual(expected[i], actual, 1e-10);
Assert.IsFalse(Double.IsNaN(actual));
}
}
public void DistributionFunctionTest()
{
double successProbability = 0.42;
GeometricDistribution target = new GeometricDistribution(successProbability);
double[] values = { -1, 0, 1, 2, 3, 4, 5 };
double[] expected = { 0, 0.42, 0.6636, 0.804888, 0.88683504, 0.9343643232, 0.961931307456 };
for (int i = 0; i < values.Length; i++)
{
double actual = target.DistributionFunction(i - 1);
Assert.AreEqual(expected[i], actual, 1e-10);
Assert.IsFalse(Double.IsNaN(actual));
}
}