Esempi in C# (CSharp) per Accord.Statistics.Distributions.Univariate HyperbolicSecantDistribution.ProbabilityDensityFunction

ProbabilityDensityFunction() public method

Gets the probability density function (pdf) for this distribution evaluated at point x.

public ProbabilityDensityFunction ( double x ) : double
x	double	A single point in the distribution range.
return	double

Esempio n. 1

File: HyperbolicSecantDistributionTest.cs Progetto: KommuSoft/accord_framework

        public void ConstructorTest1()
        {
            var sech = new HyperbolicSecantDistribution();

            double mean = sech.Mean;     // 0.0
            double median = sech.Median; // 0.0
            double mode = sech.Mode;     // 0.0
            double var = sech.Variance;  // 1.0

            double cdf = sech.DistributionFunction(x: 1.4); // 2.2939067361538474
            double pdf = sech.ProbabilityDensityFunction(x: 1.4); // 0.10955386512899701
            double lpdf = sech.LogProbabilityDensityFunction(x: 1.4); // -2.2113389316917877

            double ccdf = sech.ComplementaryDistributionFunction(x: 1.4); // -1.2939067361538474
            double icdf = sech.InverseDistributionFunction(p: cdf); // 1.4000000017042402

            double hf = sech.HazardFunction(x: 1.4); // -0.084669058493850285

            string str = sech.ToString(); // Sech(x)

            Assert.AreEqual(0, mean);
            Assert.AreEqual(0, median);
            Assert.AreEqual(1, var);
            Assert.AreEqual(0, mode);
            Assert.AreEqual(2.2939067361538474, cdf);
            Assert.AreEqual(0.10955386512899701, pdf);
            Assert.AreEqual(-2.2113389316917877, lpdf);
            Assert.AreEqual(-0.084669058493850285, hf);
            Assert.AreEqual(-1.2939067361538474, ccdf);
            Assert.AreEqual(1.4000000017042402, icdf, 1e-13);
            Assert.AreEqual("Sech(x)", str);

            Assert.IsFalse(double.IsNaN(icdf));
        }

Esempio n. 2

File: HyperbolicSecantDistributionTest.cs Progetto: CanerPatir/framework

        public void ConstructorTest1()
        {
            var sech = new HyperbolicSecantDistribution();

            double mean = sech.Mean;     // 0.0
            double median = sech.Median; // 0.0
            double mode = sech.Mode;     // 0.0
            double var = sech.Variance;  // 1.0

            double cdf = sech.DistributionFunction(x: 1.4); // 0.92968538268895873
            double pdf = sech.ProbabilityDensityFunction(x: 1.4); // 0.10955386512899701
            double lpdf = sech.LogProbabilityDensityFunction(x: 1.4); // -2.2113389316917877

            double ccdf = sech.ComplementaryDistributionFunction(x: 1.4); // 0.070314617311041272
            double icdf = sech.InverseDistributionFunction(p: cdf); // 1.4000000017042411

            double hf = sech.HazardFunction(x: 1.4); // 1.5580524977385339

            string str = sech.ToString(); // Sech(x)

            Assert.AreEqual(0, mean);
            Assert.AreEqual(0, median);
            Assert.AreEqual(1, var);
            Assert.AreEqual(0, mode);
            Assert.AreEqual(0.92968538268895873, cdf);
            Assert.AreEqual(0.10955386512899701, pdf);
            Assert.AreEqual(-2.2113389316917877, lpdf);
            Assert.AreEqual(1.5580524977385339, hf);
            Assert.AreEqual(0.070314617311041272, ccdf);
            Assert.AreEqual(1.4000000017042411, icdf);
            Assert.AreEqual("Sech(x)", str);

            Assert.IsFalse(double.IsNaN(icdf));

            var range1 = sech.GetRange(0.95);
            var range2 = sech.GetRange(0.99);
            var range3 = sech.GetRange(0.01);

            Assert.AreEqual(-1.6183450347411152, range1.Min);
            Assert.AreEqual(1.6183450347411155, range1.Max);
            Assert.AreEqual(-2.6442035634463368, range2.Min);
            Assert.AreEqual(2.6442035634463381, range2.Max);
            Assert.AreEqual(-2.6442035634463372, range3.Min);
            Assert.AreEqual(2.6442035634463381, range3.Max);
        }