public void NextInt32_Distribution()
{
var M = 3;
var values = Enumerable.Repeat(false, 10000)
.Select(_ => NormalDistribution.NextInt32(M))
.ToArray();
BinomialDistributionTest.WriteSummary(values, 2 * M);
}
public void NextInt32ByMinMax_Distribution()
{
var m = 11;
var M = 16;
var values = Enumerable.Repeat(false, 10000)
.Select(_ => NormalDistribution.NextInt32ByMinMax(m, M))
.ToArray();
BinomialDistributionTest.WriteSummary(values, M - m);
}
public void NextInt32_Uniform()
{
var n = 6;
var confidence = 3.0;
var mean = n / 2.0;
var maxAbsValue = mean + 0.5;
var sigma = maxAbsValue / confidence;
var sidePoints = 1024;
var values = BinomialDistributionTest.GetValuesFromUniform(sidePoints)
.Select(x => x * sigma)
.Where(x => Abs(x) < maxAbsValue)
.Select(x => (int)Round(x + mean, MidpointRounding.AwayFromZero))
.ToArray();
BinomialDistributionTest.WriteSummary(values, n);
}