public int[] DropoutErrorsStud(double alphaMin, double alphaMax)
{
if (alphaMin == -1)
{
alphaMin = 0.001f;
}
if (alphaMax == -1)
{
alphaMax = 0.05f;
}
ArrayList listX = new ArrayList(arrX);
ArrayList listIndexIgnore = new ArrayList();
while (true)
{
double min = double.MaxValue, max = double.MinValue;
double sum = 0, sumXPow2 = 0;
int indexMin = -1, indexMax = -1;
for (int i = 0; i < listX.Count; i++)
{
if (listIndexIgnore.BinarySearch(i) >= 0)
{
continue;
}
double x = (double)listX[i];
if (x < min)
{
min = x;
indexMin = i;
}
if (x > max)
{
max = x;
indexMax = i;
}
sum += x;
sumXPow2 += x * x;
}
int n = listX.Count - listIndexIgnore.Count;
double average = sum / n;
double devStd = sumXPow2 / (n - 1) - (sum / (n - 1)) * (sum / (n - 1));
double sigmaStd = (double)Math.Sqrt(devStd);
double tauXMin, tauXMax;
tauXMin = (double)Math.Abs(min - average) / sigmaStd;
tauXMax = (double)Math.Abs(max - average) / sigmaStd;
int index;
double tauMax;
if (tauXMin >= tauXMax)
{
index = indexMin;
tauMax = tauXMin;
}
else
{
index = indexMax;
tauMax = tauXMax;
}
double tMin = StatTables.GetStudDistrInv(listX.Count - 2, alphaMin);
double tMax = StatTables.GetStudDistrInv(listX.Count - 2, alphaMax);
double critMin = tMin * (double)Math.Sqrt(listX.Count - 1) /
(double)Math.Sqrt(listX.Count - 2 + tMin * tMin);
double critMax = tMax * (double)Math.Sqrt(listX.Count - 1) /
(double)Math.Sqrt(listX.Count - 2 + tMin * tMin);
if (tauMax > critMin)
{
listIndexIgnore.Add(index);
listIndexIgnore.Sort();
}
else
{
break;
}
}
return((int[])listIndexIgnore.ToArray(typeof(int)));
}
public void CheckHypothesises(double alpha)
{
// знач. регр.
fishRegrTheor = StatTables.GetFishDistrInv(n - 1, n - p - 1, alpha);
if (fishRegr > fishRegrTheor)
{
isRegrRepr = true;
}
else
{
isRegrRepr = false;
}
// знач. коэф. регр.
studBTheor = StatTables.GetStudDistrInv(n - p - 1, alpha);
arrIsBRepr = new bool[p + 1];
for (int i = 0; i < arrIsBRepr.Length; i++)
{
if (arrStudB[i] > studBTheor)
{
arrIsBRepr[i] = true;
}
else
{
arrIsBRepr[i] = false;
}
}
// знач. коэф. кор.
studRxyTheor = StatTables.GetStudDistrInv(n - 2, alpha);
arrIsRxyRepr = new bool[p];
for (int i = 0; i < arrIsRxyRepr.Length; i++)
{
if (arrStudRxy[i] > studRxyTheor)
{
arrIsRxyRepr[i] = true;
}
else
{
arrIsRxyRepr[i] = false;
}
}
// знач. множ. коэф. кор.
studRTheor = StatTables.GetStudDistrInv(n - p - 1, alpha);
if (studR > studRTheor)
{
isRReprStud = true;
}
else
{
isRReprStud = false;
}
fishRTheor = StatTables.GetFishDistrInv(n - p - 1, p, alpha);
if (fishR > fishRTheor)
{
isRReprFish = true;
}
else
{
isRReprFish = false;
}
}
