static public double HiSqurdFound(InitialStatisticalAnalys gr, int l)
{
double Hi = 0;
List <double> Y4 = new List <double>();
double L = (double)1 / gr.Mx.Q;
for (double i = gr.l[0], v = 0; v < gr.Y2.Count; i += gr.Step.Q, v++)
{
if (l == 0)
{
Y4.Add(Distributions.NormalFFound(((i + gr.Step.Q) - gr.Mx.Q) / gr.Gx.Q) - Distributions.NormalFFound((i - gr.Mx.Q) / gr.Gx.Q));
}
else if (l == 1)
{
double F2 = 1 - Math.Exp(-(1 / gr.Mx.Q) * (gr.Min.Q + gr.Step.Q * (v + 1)));
double F1 = 1 - Math.Exp(-(1 / gr.Mx.Q) * (gr.Min.Q + gr.Step.Q * (v)));
Y4.Add(F2 - F1);
}
else if (l == 2)
{
Y4.Add(gr.Step.Q / gr.Len.Q);
}
}
for (int i = 0; i < gr.m.Q; i++)
{
Hi += (Math.Pow(Y4[i] - gr.f[i], 2) / Y4[i]) * gr.l.Count;
}
return(Math.Round(Hi, 4));
}
static private double DFound(List <double> ML, InitialStatisticalAnalys gr, int Type, double Mx, double Gx)
{
double[] D = new double[2];
for (int i = 0; i < gr.l.Count - 1; i++)
{
double l = 0;
double lmin = 0;
if (Type == 0)
{
double v1 = Distributions.NormalFFound((gr.l[i] - Mx) / Gx);
l = Math.Abs(gr.F[i] - v1);
if (i > 0)
{
v1 = Distributions.NormalFFound((gr.l[i - 1] - Mx) / Gx);
lmin = Math.Abs(gr.F[i] - v1);
}
}
else if (Type == 1)
{
l = Math.Abs(gr.F[i] - 1 + Math.Pow(2.73, -(1 / (Mx - gr.Min.Q)) * (gr.l[i] - gr.Min.Q)));
if (i > 0)
{
lmin = Math.Abs(gr.F[i] - 1 + Math.Pow(2.73, -(1 / (Mx - gr.Min.Q)) * (gr.l[i - 1] - gr.l[0])));
}
}
else if (Type == 2)
{
l = Math.Abs(gr.F[i] - ((gr.l[i] - gr.l[0]) / gr.Len.Q));
if (i > 0)
{
lmin = Math.Abs(gr.F[i] - ((gr.l[i - 1] - ML[0]) / gr.Len.Q));
}
}
D[1] = Math.Max(l, D[1]);
D[0] = Math.Max(lmin, D[0]);
}
return(Math.Max(D[0], D[1]));
}
