public void ConstructorTest()
{
var gompertz = new GompertzDistribution(eta: 4.2, b: 1.1);
double median = gompertz.Median; // 0.13886469671401389
double cdf = gompertz.DistributionFunction(x: 0.27); // 0.76599768199799145
double pdf = gompertz.ProbabilityDensityFunction(x: 0.27); // 1.4549484164912097
double lpdf = gompertz.LogProbabilityDensityFunction(x: 0.27); // 0.37497044741163688
double ccdf = gompertz.ComplementaryDistributionFunction(x: 0.27); // 0.23400231800200855
double icdf = gompertz.InverseDistributionFunction(p: cdf); // 0.26999999999766749
double hf = gompertz.HazardFunction(x: 0.27); // 6.2176666834502088
double chf = gompertz.CumulativeHazardFunction(x: 0.27); // 1.4524242576820101
string str = gompertz.ToString(System.Globalization.CultureInfo.InvariantCulture);
// "Gompertz(x; η = 4.2, b = 1.1)"
Assert.AreEqual(0.13886469671401389, median);
Assert.AreEqual(1.4524242576820101, chf);
Assert.AreEqual(0.76599768199799145, cdf);
Assert.AreEqual(1.4549484164912097, pdf);
Assert.AreEqual(0.37497044741163688, lpdf);
Assert.AreEqual(6.2176666834502088, hf);
Assert.AreEqual(0.23400231800200855, ccdf);
Assert.AreEqual(0.26999999999766749, icdf);
Assert.AreEqual("Gompertz(x; η = 4.2, b = 1.1)", str);
}
public void ConstructorTest()
{
var gompertz = new GompertzDistribution(eta: 4.2, b: 1.1);
try { double mean = gompertz.Mean; Assert.Fail(); }
catch { }
double median = gompertz.Median; // 0.13886469671401389
double mode = gompertz.Mode; // 0.0
double cdf = gompertz.DistributionFunction(x: 0.27); // 0.76599768199799145
double pdf = gompertz.ProbabilityDensityFunction(x: 0.27); // 1.4549484164912097
double lpdf = gompertz.LogProbabilityDensityFunction(x: 0.27); // 0.37497044741163688
double ccdf = gompertz.ComplementaryDistributionFunction(x: 0.27); // 0.23400231800200855
double icdf = gompertz.InverseDistributionFunction(p: cdf); // 0.26999999999766749
double hf = gompertz.HazardFunction(x: 0.27); // 6.2176666834502088
double chf = gompertz.CumulativeHazardFunction(x: 0.27); // 1.4524242576820101
string str = gompertz.ToString(System.Globalization.CultureInfo.InvariantCulture);
// "Gompertz(x; η = 4.2, b = 1.1)"
Assert.AreEqual(0.13886469671401389, median);
Assert.AreEqual(0.0, mode);
Assert.AreEqual(1.4524242576820101, chf);
Assert.AreEqual(0.76599768199799145, cdf);
Assert.AreEqual(1.4549484164912097, pdf);
Assert.AreEqual(0.37497044741163688, lpdf);
Assert.AreEqual(6.2176666834502088, hf);
Assert.AreEqual(0.23400231800200855, ccdf);
Assert.AreEqual(0.26999999999766749, icdf);
Assert.AreEqual("Gompertz(x; η = 4.2, b = 1.1)", str);
var range1 = gompertz.GetRange(0.95);
var range2 = gompertz.GetRange(0.99);
var range3 = gompertz.GetRange(0.01);
Assert.AreEqual(0.011035174219697141, range1.Min, 1e-6);
Assert.AreEqual(0.48945776418276288, range1.Max, 1e-6);
Assert.AreEqual(0.002172798720176344, range2.Min, 1e-6);
Assert.AreEqual(0.67295877422837591, range2.Max, 1e-6);
Assert.AreEqual(0.0021727987201762976, range3.Min, 1e-6);
Assert.AreEqual(0.67295877422837591, range3.Max, 1e-6);
}
public void ConstructorTest2()
{
var gompertz = new GompertzDistribution(eta: 0.2, b: 1.1);
try { double mean = gompertz.Mean; Assert.Fail(); }
catch { }
double median = gompertz.Median; // 1.3603945605494754
double mode = gompertz.Mode; // 1.4631253749400912
double cdf = gompertz.DistributionFunction(x: 0.27); // 0.066825495660013834
double pdf = gompertz.ProbabilityDensityFunction(x: 0.27); // 0.27629371549904269
double lpdf = gompertz.LogProbabilityDensityFunction(x: 0.27); // -1.2862907925193949
double ccdf = gompertz.ComplementaryDistributionFunction(x: 0.27); // 0.93317450433998617
double icdf = gompertz.InverseDistributionFunction(p: cdf); // 0.27000016175969527
double hf = gompertz.HazardFunction(x: 0.27); // 0.29607936587858147
double chf = gompertz.CumulativeHazardFunction(x: 0.27); // 0.069163059889619516
string str = gompertz.ToString(System.Globalization.CultureInfo.InvariantCulture);
// "Gompertz(x; η = 4.2, b = 1.1)"
Assert.AreEqual(1.3603945605494754, median);
Assert.AreEqual(1.4631253749400912, mode);
Assert.AreEqual(0.069163059889619516, chf);
Assert.AreEqual(0.066825495660013834, cdf);
Assert.AreEqual(0.27629371549904269, pdf);
Assert.AreEqual(-1.2862907925193949, lpdf);
Assert.AreEqual(0.29607936587858147, hf);
Assert.AreEqual(0.93317450433998617, ccdf);
Assert.AreEqual(0.27000016175969527, icdf);
Assert.AreEqual("Gompertz(x; η = 0.2, b = 1.1)", str);
}
public void MedianTest()
{
var target = new GompertzDistribution(eta: 42, b: 4.2);
Assert.AreEqual(target.Median, target.InverseDistributionFunction(0.5), 1e-8);
}
public void ConstructorTest13()
{
var original = new GompertzDistribution(eta: 4.2, b: 1.1);
var gompertz = GeneralContinuousDistribution.FromDistributionFunction(
original.Support, original.DistributionFunction);
for (double i = -10; i < +10; i += 0.1)
{
double expected = original.DistributionFunction(i);
double actual = gompertz.DistributionFunction(i);
Assert.IsTrue(expected.IsRelativelyEqual(actual, 1e-7));
Assert.IsFalse(double.IsNaN(expected));
Assert.IsFalse(double.IsNaN(actual));
}
testGompertz(gompertz);
}
public void ConstructorTest12()
{
var original = new GompertzDistribution(eta: 4.2, b: 1.1);
var gompertz = GeneralContinuousDistribution.FromDensityFunction(
original.Support, original.ProbabilityDensityFunction);
for (double i = -10; i < +7; i += 0.1)
{
double expected = original.DistributionFunction(i);
double actual = gompertz.DistributionFunction(i);
double diff = Math.Abs(expected - actual);
Assert.AreEqual(expected, actual, 1e-3);
Assert.IsFalse(double.IsNaN(expected));
Assert.IsFalse(double.IsNaN(actual));
}
testGompertz(gompertz);
}
public void ConstructorTest13()
{
var original = new GompertzDistribution(eta: 4.2, b: 1.1);
var gompertz = GeneralContinuousDistribution.FromDistributionFunction(
original.Support, original.DistributionFunction);
testGompertz(gompertz);
}