本文整理汇总了C#中MathNet.Numerics.Distributions.ContinuousUniform.CumulativeDistribution方法的典型用法代码示例。如果您正苦于以下问题：C# ContinuousUniform.CumulativeDistribution方法的具体用法？C# ContinuousUniform.CumulativeDistribution怎么用？C# ContinuousUniform.CumulativeDistribution使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类MathNet.Numerics.Distributions.ContinuousUniform的用法示例。
在下文中一共展示了ContinuousUniform.CumulativeDistribution方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: Run
/// <summary>
/// Run example
/// </summary>
/// <a href="http://en.wikipedia.org/wiki/Uniform_distribution_%28continuous%29">ContinuousUniform distribution</a>
public void Run()
{
// 1. Initialize the new instance of the ContinuousUniform distribution class with default parameters.
var continuousUniform = new ContinuousUniform();
Console.WriteLine(@"1. Initialize the new instance of the ContinuousUniform distribution class with parameters Lower = {0}, Upper = {1}", continuousUniform.Lower, continuousUniform.Upper);
Console.WriteLine();
// 2. Distributuion properties:
Console.WriteLine(@"2. {0} distributuion properties:", continuousUniform);
// Cumulative distribution function
Console.WriteLine(@"{0} - Сumulative distribution at location '0.3'", continuousUniform.CumulativeDistribution(0.3).ToString(" #0.00000;-#0.00000"));
// Probability density
Console.WriteLine(@"{0} - Probability density at location '0.3'", continuousUniform.Density(0.3).ToString(" #0.00000;-#0.00000"));
// Log probability density
Console.WriteLine(@"{0} - Log probability density at location '0.3'", continuousUniform.DensityLn(0.3).ToString(" #0.00000;-#0.00000"));
// Entropy
Console.WriteLine(@"{0} - Entropy", continuousUniform.Entropy.ToString(" #0.00000;-#0.00000"));
// Largest element in the domain
Console.WriteLine(@"{0} - Largest element in the domain", continuousUniform.Maximum.ToString(" #0.00000;-#0.00000"));
// Smallest element in the domain
Console.WriteLine(@"{0} - Smallest element in the domain", continuousUniform.Minimum.ToString(" #0.00000;-#0.00000"));
// Mean
Console.WriteLine(@"{0} - Mean", continuousUniform.Mean.ToString(" #0.00000;-#0.00000"));
// Median
Console.WriteLine(@"{0} - Median", continuousUniform.Median.ToString(" #0.00000;-#0.00000"));
// Mode
Console.WriteLine(@"{0} - Mode", continuousUniform.Mode.ToString(" #0.00000;-#0.00000"));
// Variance
Console.WriteLine(@"{0} - Variance", continuousUniform.Variance.ToString(" #0.00000;-#0.00000"));
// Standard deviation
Console.WriteLine(@"{0} - Standard deviation", continuousUniform.StdDev.ToString(" #0.00000;-#0.00000"));
// Skewness
Console.WriteLine(@"{0} - Skewness", continuousUniform.Skewness.ToString(" #0.00000;-#0.00000"));
Console.WriteLine();
// 3. Generate 10 samples of the ContinuousUniform distribution
Console.WriteLine(@"3. Generate 10 samples of the ContinuousUniform distribution");
for (var i = 0; i < 10; i++)
{
Console.Write(continuousUniform.Sample().ToString("N05") + @" ");
}
Console.WriteLine();
Console.WriteLine();
// 4. Generate 100000 samples of the ContinuousUniform(0, 1) distribution and display histogram
Console.WriteLine(@"4. Generate 100000 samples of the ContinuousUniform(0, 1) distribution and display histogram");
var data = new double[100000];
for (var i = 0; i < data.Length; i++)
{
data[i] = continuousUniform.Sample();
}
ConsoleHelper.DisplayHistogram(data);
Console.WriteLine();
// 5. Generate 100000 samples of the ContinuousUniform(2, 10) distribution and display histogram
Console.WriteLine(@"5. Generate 100000 samples of the ContinuousUniform(2, 10) distribution and display histogram");
continuousUniform.Upper = 10;
continuousUniform.Lower = 2;
for (var i = 0; i < data.Length; i++)
{
data[i] = continuousUniform.Sample();
}
ConsoleHelper.DisplayHistogram(data);
}示例2: ValidateCumulativeDistribution
public void ValidateCumulativeDistribution(double lower, double upper)
{
var n = new ContinuousUniform(lower, upper);
for (var i = 0; i < 11; i++)
{
var x = i - 5.0;
if (x <= lower)
{
Assert.AreEqual(0.0, n.CumulativeDistribution(x));
Assert.AreEqual(0.0, ContinuousUniform.CDF(lower, upper, x));
}
else if (x >= upper)
{
Assert.AreEqual(1.0, n.CumulativeDistribution(x));
Assert.AreEqual(1.0, ContinuousUniform.CDF(lower, upper, x));
}
else
{
Assert.AreEqual((x - lower)/(upper - lower), n.CumulativeDistribution(x));
Assert.AreEqual((x - lower)/(upper - lower), ContinuousUniform.CDF(lower, upper, x));
}
}
}示例3: ValidateCumulativeDistribution
public void ValidateCumulativeDistribution(double lower, double upper)
{
var n = new ContinuousUniform(lower, upper);
for (int i = 0; i < 11; i++)
{
double x = i - 5.0;
if (x <= lower)
{
AssertEx.AreEqual<double>(0.0, n.CumulativeDistribution(x));
}
else if (x >= upper)
{
AssertEx.AreEqual<double>(1.0, n.CumulativeDistribution(x));
}
else
{
AssertEx.AreEqual<double>((x - lower) / (upper - lower), n.CumulativeDistribution(x));
}
}
}