public double _Mizes(double[] v, Distribution _fun)
{
int N = v.Length;
double[] F = new double[N];
double Coef=0;
for (int i = 0; i < N; i++)
{
Coef+=Math.Pow(((i-0.5)/N)-_fun.Function(v[i]),2);
}
Coef+=1.0/(12*N);
if (Coef < 0.3473)
return 0.1;
else if (Coef < 0.4614)
return 0.95;
else if (Coef < 0.7435)
return 0.99;
else if (Coef < 0.8694)
return 0.995;
else if (Coef < 1.1679)
return 0.999;
else
return 0;
}
public double _Pirson(double[] v, Distribution _fun)
{
int N = v.Length, _n = (int)((N > 100) ? 4 * Math.Log(N) : Math.Sqrt(N));
int w = N / _n;
double _p = 1.0 / w;
double _EmpericalHi2 = 0;
double Ai = y_b, Bi;
for (int i = 0; i < _n; i++)
{
Bi = (double)(v[(int)(w * i)] + v[(int)(w * i) + 1]) / 2;
double pi = _fun.Function(Bi) - _fun.Function(Ai);
_EmpericalHi2 += Math.Pow((_p - pi), 2) / pi;
Ai = Bi;
}
_EmpericalHi2 *= N;
int j = hi2.Length - 1;
while ((j != -1) && (hi2[j] < _EmpericalHi2))
j--;
if (j == -1)
return 0;
else
return alphaHi2[j];
}
public double _Colmogorov(double[] v, Distribution _fun)
{
int N = v.Length;
double[] F = new double[N];
for (int i = 0; i < N; i++)
{
int w = 0;
for (int j = 0; j < N; j++)
if (v[i] == v[j]) w++;
F[i] = (double)w / N;
if (i > 0) F[i] += F[i - 1];
}
double max=Math.Abs(_fun.Function(v[0])-F[0]), Bi;
int k = 0;
for (int i = 1; i < N; i++)
{
if (Math.Abs(_fun.Function(v[i]) - F[i])>max)
{
max = Math.Abs(_fun.Function(v[i]) - F[i]);
//k = i;
}
}
if (max < 0.248)
return 0.95;
else if (max < 0.2972)
return 0.99;
else
return 0;
}
