Accord.Statistics.Distributions.Univariate.TrapezoidalDistribution.ToString C# (CSharp) Method

        public override string ToString(string format, IFormatProvider formatProvider)
        {
            return String.Format("Trapezoidal(x; a = {0}, b = {1}, c = {2}, d = {3}, n1 = {4}, n3 = {5}, α = {6})",
                a.ToString(format, formatProvider),
                b.ToString(format, formatProvider),
                c.ToString(format, formatProvider),
                d.ToString(format, formatProvider),
                n1.ToString(format, formatProvider),
                n3.ToString(format, formatProvider),
                alpha.ToString(format, formatProvider));
        }
    }

        public void TrapezoidalDistributionConstructorTest()
        {
            double x = 0.75d;

            double a = 0;
            double b = (1.0d/3.0d);
            double c = (2.0d/3.0d);
            double d = 1.0d;
            double n1 = 2.0d;
            double n3 = 2.0d;

            var trapDist = new TrapezoidalDistribution(a, b, c, d, n1, n3);
            double mean = trapDist.Mean; //0.62499999999999989
            double variance = trapDist.Variance; //0.37103174603174593
            double pdf = trapDist.ProbabilityDensityFunction(x); //1.1249999999999998
            double cdf = trapDist.DistributionFunction(x); //1.28125
            string tostr = trapDist.ToString("N2", CultureInfo.InvariantCulture);

            Assert.AreEqual(mean, 0.625d, 0.00000001);
            Assert.AreEqual(variance, 0.37103175d, 0.00000001);
            Assert.AreEqual(pdf, 1.125, 0.000000001, "should match output from dtrapezoid in R");
            Assert.AreEqual(cdf, 1.28125,0.000000001);
            Assert.AreEqual(tostr, "Trapezoidal(x; a = 0.00, b = 0.33, c = 0.67, d = 1.00, n1 = 2.00, n3 = 2.00, α = 1.00)");
            //Verified using R package 'trapezoid'
        }