Ejemplo n.º 1
0
        public static void Random_derive_uniform()
        {
            const int    count = 100_000;
            const double μ     = 100; // Mean
            const double σ     = 10;  // Sigma

            var normal = Uniform.FromMuSigma(μ, σ, Seed);

            double[] values = normal.Sample(count).ToArray();

            // ~99.7% of population is within +/- 3 standard deviations
            const double sd  = 3 * σ;
            int          cnt = values
                               .Where(n => n >= μ - sd && n <= μ + sd)
                               .Count();

            Assert.True(cnt >= 0.990 * count); // 99,716

            double min = values.Min();
            double avg = values.Average();
            double max = values.Max();

            Assert.True(min < avg);
            Assert.True(avg < max);
        }
Ejemplo n.º 2
0
        public static void Random_derive_uniform_sigma_zero()
        {
            const int    count = 1_000;
            const double μ     = 100; // Mean
            const double σ     = 0;   // Sigma

            var normal = Uniform.FromMuSigma(μ, σ, Seed);
            IEnumerable <double> values = normal.Sample(count);

            Assert.All(values, n => Assert.True(n == μ));
        }