/// <summary> /// Run example /// </summary> /// <a href="http://en.wikipedia.org/wiki/Geometric_distribution">Geometric distribution</a> public void Run() { // 1. Initialize the new instance of the Geometric distribution class with parameter P = 0.2 var geometric = new Geometric(0.2); Console.WriteLine(@"1. Initialize the new instance of the Geometric distribution class with parameter P = {0}", geometric.P); Console.WriteLine(); // 2. Distributuion properties: Console.WriteLine(@"2. {0} distributuion properties:", geometric); // Cumulative distribution function Console.WriteLine(@"{0} - Сumulative distribution at location '3'", geometric.CumulativeDistribution(3).ToString(" #0.00000;-#0.00000")); // Probability density Console.WriteLine(@"{0} - Probability mass at location '3'", geometric.Probability(3).ToString(" #0.00000;-#0.00000")); // Log probability density Console.WriteLine(@"{0} - Log probability mass at location '3'", geometric.ProbabilityLn(3).ToString(" #0.00000;-#0.00000")); // Entropy Console.WriteLine(@"{0} - Entropy", geometric.Entropy.ToString(" #0.00000;-#0.00000")); // Largest element in the domain Console.WriteLine(@"{0} - Largest element in the domain", geometric.Maximum.ToString(" #0.00000;-#0.00000")); // Smallest element in the domain Console.WriteLine(@"{0} - Smallest element in the domain", geometric.Minimum.ToString(" #0.00000;-#0.00000")); // Mean Console.WriteLine(@"{0} - Mean", geometric.Mean.ToString(" #0.00000;-#0.00000")); // Median Console.WriteLine(@"{0} - Median", geometric.Median.ToString(" #0.00000;-#0.00000")); // Mode Console.WriteLine(@"{0} - Mode", geometric.Mode.ToString(" #0.00000;-#0.00000")); // Variance Console.WriteLine(@"{0} - Variance", geometric.Variance.ToString(" #0.00000;-#0.00000")); // Standard deviation Console.WriteLine(@"{0} - Standard deviation", geometric.StdDev.ToString(" #0.00000;-#0.00000")); // Skewness Console.WriteLine(@"{0} - Skewness", geometric.Skewness.ToString(" #0.00000;-#0.00000")); Console.WriteLine(); // 3. Generate 10 samples of the Geometric distribution Console.WriteLine(@"3. Generate 10 samples of the Geometric distribution"); for (var i = 0; i < 10; i++) { Console.Write(geometric.Sample().ToString("N05") + @" "); } Console.WriteLine(); Console.WriteLine(); // 4. Generate 100000 samples of the Geometric(0.2, 20) distribution and display histogram Console.WriteLine(@"4. Generate 100000 samples of the Geometric(0.2, 20) distribution and display histogram"); var data = new double[100000]; for (var i = 0; i < data.Length; i++) { data[i] = geometric.Sample(); } ConsoleHelper.DisplayHistogram(data); Console.WriteLine(); // 5. Generate 100000 samples of the Geometric(0.5) distribution and display histogram Console.WriteLine(@"5. Generate 100000 samples of the Geometric(0.5) distribution and display histogram"); geometric.P = 0.5; for (var i = 0; i < data.Length; i++) { data[i] = geometric.Sample(); } ConsoleHelper.DisplayHistogram(data); Console.WriteLine(); // 6. Generate 100000 samples of the Geometric(0.8) distribution and display histogram Console.WriteLine(@"6. Generate 100000 samples of the Geometric(0.8) distribution and display histogram"); geometric.P = 0.8; for (var i = 0; i < data.Length; i++) { data[i] = geometric.Sample(); } ConsoleHelper.DisplayHistogram(data); }
public void CanSample() { var d = new Geometric(0.3); d.Sample(); }