Accord.Tests.Statistics.MultivariateNormalDistributionTest.ConstructorTest1 C# (CSharp) Méthode

        public void ConstructorTest1()
        {
            var normal = new NormalDistribution(4.2, 1.2);
            var target = new MultivariateNormalDistribution(new[] { 4.2 }, new[,] { { 1.2 * 1.2 } });

            double[] mean = target.Mean;
            double[] median = target.Median;
            double[] var = target.Variance;
            double[,] cov = target.Covariance;

            double apdf1 = target.ProbabilityDensityFunction(new double[] { 2 });
            double apdf2 = target.ProbabilityDensityFunction(new double[] { 4 });
            double apdf3 = target.ProbabilityDensityFunction(new double[] { 3 });
            double alpdf = target.LogProbabilityDensityFunction(new double[] { 3 });
            double acdf = target.DistributionFunction(new double[] { 3 });
            double accdf = target.ComplementaryDistributionFunction(new double[] { 3 });

            double epdf1 = normal.ProbabilityDensityFunction(2);
            double epdf2 = normal.ProbabilityDensityFunction(4);
            double epdf3 = normal.ProbabilityDensityFunction(3);
            double elpdf = normal.LogProbabilityDensityFunction(3);
            double ecdf = normal.DistributionFunction(3);
            double eccdf = normal.ComplementaryDistributionFunction(3);


            Assert.AreEqual(normal.Mean, target.Mean[0]);
            Assert.AreEqual(normal.Median, target.Median[0]);
            Assert.AreEqual(normal.Variance, target.Variance[0]);
            Assert.AreEqual(normal.Variance, target.Covariance[0, 0]);

            Assert.AreEqual(epdf1, apdf1);
            Assert.AreEqual(epdf2, apdf2);
            Assert.AreEqual(epdf3, apdf3);
            Assert.AreEqual(elpdf, alpdf);
            Assert.AreEqual(ecdf, acdf);
            Assert.AreEqual(eccdf, accdf);
            Assert.AreEqual(1.0 - ecdf, eccdf);
        }