Accord.Tests.Statistics.EmpiricalHazardDistributionTest.MeasuresTest_KaplanMeier C# (CSharp) Method

        public void MeasuresTest_KaplanMeier()
        {
            double[] values = 
            {
               0.0000000000000000, 0.0351683340828711, 0.0267358118285064,
               0.0000000000000000, 0.0103643094219679, 0.9000000000000000,
               0.0000000000000000, 0.0000000000000000, 0.0000000000000000,
               0.000762266794052363, 0.000000000000000
            };

            double[] times =
            {
                11, 1, 9, 8, 7, 3, 6, 5, 4, 2, 10
            };

            var target = new EmpiricalHazardDistribution(times, values, SurvivalEstimator.KaplanMeier);
            var general = new GeneralContinuousDistribution(target);

            //Assert.AreEqual(general.Mean, target.Mean);
            //Assert.AreEqual(general.Variance, target.Variance);
            Assert.AreEqual(general.Median, target.Median);

            for (int i = -10; i < 10; i++)
            {
                double x = i;
                double expected = general.CumulativeHazardFunction(x);
                double actual = target.CumulativeHazardFunction(x);
                Assert.AreEqual(expected, actual, 1e-4);
            }

            for (int i = -10; i < 10; i++)
            {
                double x = i;
                double expected = general.HazardFunction(x);
                double actual = target.HazardFunction(x);
                Assert.AreEqual(expected, actual, 1e-5);
            }
        }