예제 #1
0
        public void CanSampleSequence()
        {
            var n   = new Chi(1.0);
            var ied = n.Samples();

            GC.KeepAlive(ied.Take(5).ToArray());
        }
예제 #2
0
        /// <summary>
        /// Run example
        /// </summary>
        /// <a href="http://en.wikipedia.org/wiki/Chi_distribution">Chi distribution</a>
        public void Run()
        {
            // 1. Initialize the new instance of the Chi distribution class with parameter dof = 1.
            var chi = new Chi(1);

            Console.WriteLine(@"1. Initialize the new instance of the Chi distribution class with parameter DegreesOfFreedom = {0}", chi.DegreesOfFreedom);
            Console.WriteLine();

            // 2. Distributuion properties:
            Console.WriteLine(@"2. {0} distributuion properties:", chi);

            // Cumulative distribution function
            Console.WriteLine(@"{0} - Сumulative distribution at location '0.3'", chi.CumulativeDistribution(0.3).ToString(" #0.00000;-#0.00000"));

            // Probability density
            Console.WriteLine(@"{0} - Probability density at location '0.3'", chi.Density(0.3).ToString(" #0.00000;-#0.00000"));

            // Log probability density
            Console.WriteLine(@"{0} - Log probability density at location '0.3'", chi.DensityLn(0.3).ToString(" #0.00000;-#0.00000"));

            // Entropy
            Console.WriteLine(@"{0} - Entropy", chi.Entropy.ToString(" #0.00000;-#0.00000"));

            // Largest element in the domain
            Console.WriteLine(@"{0} - Largest element in the domain", chi.Maximum.ToString(" #0.00000;-#0.00000"));

            // Smallest element in the domain
            Console.WriteLine(@"{0} - Smallest element in the domain", chi.Minimum.ToString(" #0.00000;-#0.00000"));

            // Mean
            Console.WriteLine(@"{0} - Mean", chi.Mean.ToString(" #0.00000;-#0.00000"));

            // Mode
            Console.WriteLine(@"{0} - Mode", chi.Mode.ToString(" #0.00000;-#0.00000"));

            // Variance
            Console.WriteLine(@"{0} - Variance", chi.Variance.ToString(" #0.00000;-#0.00000"));

            // Standard deviation
            Console.WriteLine(@"{0} - Standard deviation", chi.StdDev.ToString(" #0.00000;-#0.00000"));

            // Skewness
            Console.WriteLine(@"{0} - Skewness", chi.Skewness.ToString(" #0.00000;-#0.00000"));
            Console.WriteLine();

            // 3. Generate 10 samples of the Chi distribution
            Console.WriteLine(@"3. Generate 10 samples of the Chi distribution");
            for (var i = 0; i < 10; i++)
            {
                Console.Write(chi.Sample().ToString("N05") + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 4. Generate 100000 samples of the Chi(1) distribution and display histogram
            Console.WriteLine(@"4. Generate 100000 samples of the Chi(1) distribution and display histogram");
            var data = new double[100000];

            Chi.Samples(data, 1);
            ConsoleHelper.DisplayHistogram(data);
            Console.WriteLine();

            // 5. Generate 100000 samples of the Chi(2) distribution and display histogram
            Console.WriteLine(@"5. Generate 100000 samples of the Chi(2) distribution and display histogram");
            Chi.Samples(data, 2);
            ConsoleHelper.DisplayHistogram(data);
            Console.WriteLine();

            // 6. Generate 100000 samples of the Chi(5) distribution and display histogram
            Console.WriteLine(@"6. Generate 100000 samples of the Chi(5) distribution and display histogram");
            Chi.Samples(data, 5);
            ConsoleHelper.DisplayHistogram(data);
        }
예제 #3
0
 public void CanSampleSequence()
 {
     var n = new Chi(1.0);
     var ied = n.Samples();
     ied.Take(5).ToArray();
 }
 public void CanSampleSequence()
 {
     var n   = new Chi(1.0);
     var ied = n.Samples();
     var e   = ied.Take(5).ToArray();
 }