public void FisherInversion()
{
// x ~ Fisher(a,b) => 1/x ~ Fisher(b,a)
FisherDistribution f = new FisherDistribution(2.3, 5.6);
FisherDistribution fi = new FisherDistribution(f.DenominatorDegreesOfFreedom, f.NumeratorDegreesOfFreedom);
Random rng = new Random(1);
for (int i = 0; i < 10; i++)
{
double x = f.GetRandomValue(rng);
double xi = 1.0 / x;
// LeftProbability <-> RightProbability because as x increases, 1/x decreases
Assert.IsTrue(TestUtilities.IsNearlyEqual(f.LeftProbability(x), fi.RightProbability(xi)));
}
}
public void FisherInversion()
{
// x ~ Fisher(a,b) => 1/x ~ Fisher(b,a)
FisherDistribution f = new FisherDistribution(2.3, 5.6);
FisherDistribution fi = new FisherDistribution(f.DenominatorDegreesOfFreedom, f.NumeratorDegreesOfFreedom);
Random rng = new Random(1);
for (int i = 0; i < 10; i++) {
double x = f.GetRandomValue(rng);
double xi = 1.0 / x;
// LeftProbability <-> RightProbability because as x increases, 1/x decreases
Assert.IsTrue(TestUtilities.IsNearlyEqual(f.LeftProbability(x), fi.RightProbability(xi)));
}
}
