/// <summary>
/// Computes a p-value for a given distribution.
/// </summary>
/// <param name="distribution">Values used to compute the p-value.</param>
/// <returns>Level of significance (p-value)</returns>
public HypothesisTestingData Test(List <double> dist1)
{
var x = new double[dist1.Count];
var n = dist1.Count;
dist1.CopyTo(x);
var pValue = double.MaxValue;
//alglib.(x, n, out pValue);
var t = new HypothesisTestingData(pValue);
return(t);
}
public HypothesisTestingData Test(List <double> dist1, List <double> dist2)
{
var one = new double[dist1.Count];
dist1.CopyTo(one);
var two = new double[dist2.Count];
dist1.CopyTo(two);
var pValue = double.MaxValue;
// TwoSampleKolmogorovSmirnovTest tester = new TwoSampleKolmogorovSmirnovTest(one, two, TwoSampleKolmogorovSmirnovTestHypothesis.SamplesDistributionsAreUnequal);
// pValue = testc.PValue;
var data = new HypothesisTestingData(pValue, pValue, pValue);
return(data);
}
/// <summary>
/// Computes a p-value for a given distribution.
/// </summary>
/// <returns>Level of significance (p-value)</returns>
public HypothesisTestingData Test(List <double> dist1, List <double> dist2)
{
var y = new double[dist2.Count];
var x = new double[dist1.Count];
var n = dist1.Count;
var m = dist2.Count;
dist1.CopyTo(x);
dist2.CopyTo(y);
var twoTail = double.MaxValue;
var leftTail = double.MaxValue;
var rightTail = double.MaxValue;
alglib.unequalvariancettest(x, n, y, m, out twoTail, out leftTail, out rightTail);
var t = new HypothesisTestingData(twoTail,
leftTail,
rightTail);
return(t);
}
