public Case createCase() { var newCase = new Case(); // Generate positive new damage var damage = normalDamage.Sample(); while (damage < 0) { damage = normalDamage.Sample(); } // Add an extreme event in some cases bool isExtreme = extremeDirac.Sample() < extremeProb; if (isExtreme) { damage += extremeDamageValue * extremeDamageMultiplier.Sample(); } // Create cases newCase.setDamage(Math.Floor(damage), isExtreme); return(newCase); }
public void CanSampleStatic() { Weibull.Sample(new Random(0), 1.0, 1.0); }
public void CanSampleStatic() { var d = Weibull.Sample(new Random(), 1.0, 1.0); }
/// <summary> /// Run example /// </summary> /// <a href="http://en.wikipedia.org/wiki/Weibull_distribution">Weibull distribution</a> public void Run() { // 1. Initialize the new instance of the Weibull distribution class with parameters Scale = 1, Shape = 0.5 var weibull = new Weibull(0.5, 1); Console.WriteLine(@"1. Initialize the new instance of the Weibull distribution class with parameterы Scale = {0}, Shape = {1}", weibull.Scale, weibull.Shape); Console.WriteLine(); // 2. Distributuion properties: Console.WriteLine(@"2. {0} distributuion properties:", weibull); // Cumulative distribution function Console.WriteLine(@"{0} - Сumulative distribution at location '0.3'", weibull.CumulativeDistribution(0.3).ToString(" #0.00000;-#0.00000")); // Probability density Console.WriteLine(@"{0} - Probability density at location '0.3'", weibull.Density(0.3).ToString(" #0.00000;-#0.00000")); // Log probability density Console.WriteLine(@"{0} - Log probability density at location '0.3'", weibull.DensityLn(0.3).ToString(" #0.00000;-#0.00000")); // Entropy Console.WriteLine(@"{0} - Entropy", weibull.Entropy.ToString(" #0.00000;-#0.00000")); // Largest element in the domain Console.WriteLine(@"{0} - Largest element in the domain", weibull.Maximum.ToString(" #0.00000;-#0.00000")); // Smallest element in the domain Console.WriteLine(@"{0} - Smallest element in the domain", weibull.Minimum.ToString(" #0.00000;-#0.00000")); // Mean Console.WriteLine(@"{0} - Mean", weibull.Mean.ToString(" #0.00000;-#0.00000")); // Median Console.WriteLine(@"{0} - Median", weibull.Median.ToString(" #0.00000;-#0.00000")); // Mode Console.WriteLine(@"{0} - Mode", weibull.Mode.ToString(" #0.00000;-#0.00000")); // Variance Console.WriteLine(@"{0} - Variance", weibull.Variance.ToString(" #0.00000;-#0.00000")); // Standard deviation Console.WriteLine(@"{0} - Standard deviation", weibull.StdDev.ToString(" #0.00000;-#0.00000")); // Skewness Console.WriteLine(@"{0} - Skewness", weibull.Skewness.ToString(" #0.00000;-#0.00000")); Console.WriteLine(); // 3. Generate 10 samples of the Weibull distribution Console.WriteLine(@"3. Generate 10 samples of the Weibull distribution"); for (var i = 0; i < 10; i++) { Console.Write(weibull.Sample().ToString("N05") + @" "); } Console.WriteLine(); Console.WriteLine(); // 4. Generate 100000 samples of the Weibull(0.5, 1) distribution and display histogram Console.WriteLine(@"4. Generate 100000 samples of the Weibull(0.5, 1) distribution and display histogram"); var data = new double[100000]; for (var i = 0; i < data.Length; i++) { data[i] = weibull.Sample(); } ConsoleHelper.DisplayHistogram(data); Console.WriteLine(); // 5. Generate 100000 samples of the Weibull(1.5, 1) distribution and display histogram Console.WriteLine(@"5. Generate 100000 samples of the Weibull(1.5, 1) distribution and display histogram"); weibull.Shape = 1.5; for (var i = 0; i < data.Length; i++) { data[i] = weibull.Sample(); } ConsoleHelper.DisplayHistogram(data); Console.WriteLine(); // 6. Generate 100000 samples of the Weibull(5, 1) distribution and display histogram Console.WriteLine(@"6. Generate 100000 samples of the Weibull(5, 1) distribution and display histogram"); weibull.Shape = 5; for (var i = 0; i < data.Length; i++) { data[i] = weibull.Sample(); } ConsoleHelper.DisplayHistogram(data); }