NSoft.NFramework.Numerics.Distributions.Continuous.Normal.WithMeanStDev C# (CSharp) Méthode

        public static Normal WithMeanStDev(double mean, double stDev) {
            return new Normal(mean, stDev);
        }

        public void ValidateInverseCumulativeDistribution(
            [Values(Double.NegativeInfinity, -5.0, -2.0, -0.0, 0.0, 4.0, 5.0, 6.0, 10.0, Double.PositiveInfinity)] double x,
            [Values(0.0, 0.00000028665157187919391167375233287464535385442301361187883,
                    0.0002326290790355250363499258867279847735487493358890356, 0.0062096653257761351669781045741922211278977469230927036,
                    .0062096653257761351669781045741922211278977469230927036, .30853753872598689636229538939166226011639782444542207, .5,
                    .69146246127401310363770461060833773988360217555457859, 0.9937903346742238648330218954258077788721022530769078, 1.0)] double f)
        {
            var n = Normal.WithMeanStDev(5.0, 2.0);

            n.InverseCumulativeDistribution(f).Clamp(x, 1e-10).Should().Be(x);
        }