本文整理汇总了C#中MathNet.Numerics.Distributions.Normal.ToArray方法的典型用法代码示例。如果您正苦于以下问题：C# Normal.ToArray方法的具体用法？C# Normal.ToArray怎么用？C# Normal.ToArray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.Normal的用法示例。
在下文中一共展示了Normal.ToArray方法的1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: NormalityTestAlgorithmTest
public void NormalityTestAlgorithmTest()
{
int sampleSize = 100;
int numberOfMonteCarloTests = 5;
double result = 0;
NormalityTest.NormalityTestFunc normalityTestFunc = NormalityTest.JaqueBeraTest;
// normal distribution
Console.WriteLine("normal var");
for (int i = 0; i < numberOfMonteCarloTests; i++)
{
var distribution = new Normal(50, 1);
distribution.RandomSource = new Random(DateTime.Now.Millisecond * i);
var normalSamples = distribution.Samples().Take(sampleSize);
double[] reallIsNormalSamples = normalSamples.ToArray();
result = normalityTestFunc(reallIsNormalSamples);
Console.WriteLine("reallIsNormalSamples_" + i + ": " + result);
}
Console.WriteLine();
// random distribution.
Console.WriteLine("rand var");
Random rnd = new Random();
double[] randomArray = new double[sampleSize];
for (int i = 0; i < numberOfMonteCarloTests; i++)
{
for (int j = 0; j < sampleSize; j++)
{
randomArray[j] = rnd.Next(1, 100);
}
result = normalityTestFunc(randomArray);
Console.WriteLine("randomArray_" + i + ": " + result);
}
Console.WriteLine();
// Uniform distribution
Console.WriteLine("rand var");
var uniformSamples = new Normal(100, 0).Samples().Take(sampleSize);
double[] uniformSamplesRandomVar = uniformSamples.ToArray();
result = normalityTestFunc(uniformSamplesRandomVar);
Console.WriteLine("uniformSamples: " + result);
}