public void ConstructorTest()
{
var uniform = new UniformContinuousDistribution(a: 0.42, b: 1.1);
double mean = uniform.Mean; // 0.76
double median = uniform.Median; // 0.76
double var = uniform.Variance; // 0.03853333333333335
double mode = uniform.Mode; // 0.76000000000000001
double cdf = uniform.DistributionFunction(x: 0.9); // 0.70588235294117641
double pdf = uniform.ProbabilityDensityFunction(x: 0.9); // 1.4705882352941173
double lpdf = uniform.LogProbabilityDensityFunction(x: 0.9); // 0.38566248081198445
double ccdf = uniform.ComplementaryDistributionFunction(x: 0.9); // 0.29411764705882359
double icdf = uniform.InverseDistributionFunction(p: cdf); // 0.9
double hf = uniform.HazardFunction(x: 0.9); // 4.9999999999999973
double chf = uniform.CumulativeHazardFunction(x: 0.9); // 1.2237754316221154
string str = uniform.ToString(CultureInfo.InvariantCulture); // "U(x; a = 0.42, b = 1.1)"
Assert.AreEqual(0.76, mean);
Assert.AreEqual(0.76, median);
Assert.AreEqual(0.76000000000000001, mode);
Assert.AreEqual(0.03853333333333335, var);
Assert.AreEqual(1.2237754316221154, chf);
Assert.AreEqual(0.70588235294117641, cdf);
Assert.AreEqual(1.4705882352941173, pdf);
Assert.AreEqual(0.38566248081198445, lpdf);
Assert.AreEqual(4.9999999999999973, hf);
Assert.AreEqual(0.29411764705882359, ccdf);
Assert.AreEqual(0.9, icdf);
Assert.AreEqual("U(x; a = 0.42, b = 1.1)", str);
var range1 = uniform.GetRange(0.95);
var range2 = uniform.GetRange(0.99);
var range3 = uniform.GetRange(0.01);
Assert.AreEqual(0.45400000000000001, range1.Min);
Assert.AreEqual(1.0660000000000001, range1.Max);
Assert.AreEqual(0.42680000000000001, range2.Min);
Assert.AreEqual(1.0932000000000002, range2.Max);
Assert.AreEqual(0.42680000000000001, range3.Min);
Assert.AreEqual(1.0932000000000002, range3.Max);
Assert.AreEqual(0.42, uniform.Support.Min);
Assert.AreEqual(1.1, uniform.Support.Max);
Assert.AreEqual(uniform.InverseDistributionFunction(0), uniform.Support.Min);
Assert.AreEqual(uniform.InverseDistributionFunction(1), uniform.Support.Max);
}
public void ConstructorTest()
{
var uniform = new UniformContinuousDistribution(a: 0.42, b: 1.1);
double mean = uniform.Mean; // 0.76
double median = uniform.Median; // 0.76
double var = uniform.Variance; // 0.03853333333333335
double cdf = uniform.DistributionFunction(x: 0.9); // 0.70588235294117641
double pdf = uniform.ProbabilityDensityFunction(x: 0.9); // 1.4705882352941173
double lpdf = uniform.LogProbabilityDensityFunction(x: 0.9); // 0.38566248081198445
double ccdf = uniform.ComplementaryDistributionFunction(x: 0.9); // 0.29411764705882359
double icdf = uniform.InverseDistributionFunction(p: cdf); // 0.9
double hf = uniform.HazardFunction(x: 0.9); // 4.9999999999999973
double chf = uniform.CumulativeHazardFunction(x: 0.9); // 1.2237754316221154
string str = uniform.ToString(CultureInfo.InvariantCulture); // "U(x; a = 0.42, b = 1.1)"
Assert.AreEqual(0.76, mean);
Assert.AreEqual(0.76, median);
Assert.AreEqual(0.03853333333333335, var);
Assert.AreEqual(1.2237754316221154, chf);
Assert.AreEqual(0.70588235294117641, cdf);
Assert.AreEqual(1.4705882352941173, pdf);
Assert.AreEqual(0.38566248081198445, lpdf);
Assert.AreEqual(4.9999999999999973, hf);
Assert.AreEqual(0.29411764705882359, ccdf);
Assert.AreEqual(0.9, icdf);
Assert.AreEqual("U(x; a = 0.42, b = 1.1)", str);
}
public void MedianTest()
{
double a = 1;
double b = 6;
UniformContinuousDistribution target = new UniformContinuousDistribution(a, b);
Assert.AreEqual(target.Median, target.InverseDistributionFunction(0.5));
}
public void MedianTest()
{
double a = 1;
double b = 6;
UniformContinuousDistribution target = new UniformContinuousDistribution(a, b);
Assert.AreEqual(target.Median, target.InverseDistributionFunction(0.5));
}