Beispiel #1
0
void gofw_WriteKS0 (long N, double DP, double DM, double D)
   /* Prints the results of a Kolmogorov-Smirnov test */
{
   printf ("\n\nKolmogorov-Smirnov+ statistic = D+    :");
   gofw_Writep2 (DP, fbar_KSPlus (N, DP));
   printf ("Kolmogorov-Smirnov- statistic = D-    :");
   gofw_Writep2 (DM, fbar_KSPlus (N, DM));
   printf ("Kolmogorov-Smirnov statistic = D      :");
   gofw_Writep2 (D, fbar_KS1 (N, D));
   printf ("\n\n");
}
Beispiel #2
0
static void WriteResultsDisc (long N, gofw_TestArray sVal2, gofw_TestArray pVal2,
    sres_Basic *res)
{
   if (N > 1) {
      gofw_WriteActiveTests0 (N, sVal2, pVal2);
      swrite_NormalSumTest (N, res);
      printf ("Standardized empirical correlation    :");
      gofw_Writep2 (sVal2[gofw_Cor], pVal2[gofw_Cor]);
   } else {
      printf ("Standardized statistic value          :");
      gofw_Writep2 (sVal2[gofw_Mean], pVal2[gofw_Mean]);
   }
}
Beispiel #3
0
void gofw_WriteActiveTests2 (long N, gofw_TestArray sVal,
   gofw_TestArray pVal, char S[])
{
   printf ("\n-----------------------------------------------\n");
   if (N == 1) {
      gofw_Writep2 (sVal[gofw_Mean], pVal[gofw_Mean]);
   } else {
      gofw_WriteActiveTests0 (N, sVal, pVal);
   }
}
Beispiel #4
0
static void WriteResultsDiscOver (sentrop_Res *res, double NLR, double Sum2,
   double SumSq, double Mu, double Sigma, double Mean, double Var,
   double Corr)
{
   printf ("\nEmpirical mean                        :");
   num_WriteD (Mean, 12, 8, 2);
   printf ("\nEmpirical variance                    :");
   num_WriteD (Var, 12, 8, 2);
   printf ("\n");

   Sum2 = Sum2;
   SumSq = SumSq;

#ifndef STABLE
   if (swrite_Basic) {
      printf ("\nInformation on the numerical error in the computation\n"
              "   of the variance and the correlation:\n"
              "  Mean * Mean                         :");
      num_WriteD (Mean * Mean, 20, 16, 2);
      printf ("\n  Sum2 / N                            :");
      num_WriteD (Sum2 / NLR, 20, 16, 2);
      printf ("\n  SumSq / (N-1)                       :");
      num_WriteD (SumSq / (NLR - 1.0), 20, 16, 2);
      printf ("\n\n");
   }
#endif

   if (Sigma > 0.0) {
      printf ("\nDeviation from the theoretical mean   :");
      num_WriteD (Mean - Mu, 12, 8, 2);
      printf ("\nStandardized standard deviation       :");
      gofw_Writep2 (res->Bas->sVal2[gofw_Mean], res->Bas->pVal2[gofw_Mean]);
      printf ("\n");
   } else {
      printf ("\n\n");
   }
   printf ("Empirical correlation                 :");
   num_WriteD (Corr, 12, 8, 2);
   printf ("\nEmpirical correlation * sqrt(N)       :");
   gofw_Writep2 (res->Bas->sVal2[gofw_Cor], res->Bas->pVal2[gofw_Cor]);
   printf ("\n");
}
Beispiel #5
0
void gofw_WriteActiveTests0 (long N, gofw_TestArray sVal,
                             gofw_TestArray pVal)
{
   if (N == 1) {
      gofw_Writep1 (pVal[gofw_KSP]);
      return;
   }
   printf ("\n");
   if (bitset_TestBit (gofw_ActiveTests, gofw_KSP)) {
      printf ("Kolmogorov-Smirnov+ statistic = D+    :");
      gofw_Writep2 (sVal[gofw_KSP], pVal[gofw_KSP]);
   }
   if (bitset_TestBit (gofw_ActiveTests, gofw_KSM)) {
      printf ("Kolmogorov-Smirnov- statistic = D-    :");
      gofw_Writep2 (sVal[gofw_KSM], pVal[gofw_KSM]);
   }
   if (bitset_TestBit (gofw_ActiveTests, gofw_KS)) {
      printf ("Kolmogorov-Smirnov statistic  = D     :");
      gofw_Writep2 (sVal[gofw_KS], pVal[gofw_KS]);
   }
   if (bitset_TestBit (gofw_ActiveTests, gofw_AD)) {
      printf ("Anderson-Darling statistic = A2       :");
      gofw_Writep2 (sVal[gofw_AD], pVal[gofw_AD]);
   }
   if (bitset_TestBit (gofw_ActiveTests, gofw_CM)) {
      printf ("Cramer-von Mises statistic = W2       :");
      gofw_Writep2 (sVal[gofw_CM], pVal[gofw_CM]);
   }
   if (bitset_TestBit (gofw_ActiveTests, gofw_WG)) {
      printf ("Watson statistic = G                  :");
      gofw_Writep2 (sVal[gofw_WG], pVal[gofw_WG]);
   }
   if (bitset_TestBit (gofw_ActiveTests, gofw_WU)) {
      printf ("Watson statistic = U2                 :");
      gofw_Writep2 (sVal[gofw_WU], pVal[gofw_WU]);
   }
}