| Average(vector< Double_t > vector) | Statistics | [static] |
| BiasedStandardDeviation(vector< Double_t > vector) | Statistics | [static] |
| BiasedVariance(vector< Double_t > vector) | Statistics | [static] |
| BinnedKSTest(vector< Double_t > v1, vector< Double_t > v2, int nbins) | Statistics | [static] |
| BinnedKSTestRoot(vector< Double_t > v1, vector< Double_t > v2, int nbins) | Statistics | [static] |
| CalculateKSProbability(Double_t alam) | Statistics | [static] |
| ChiSquareTest(vector< Double_t > v1, vector< Double_t > v2, int nbins) | Statistics | [static] |
| Correlation(vector< Double_t > cv1, vector< Double_t > cv2) | Statistics | [static] |
| Covariance(vector< Double_t > v1, vector< Double_t > v2) | Statistics | [static] |
| Entropy(vector< Double_t > vector) | Statistics | [static] |
| EPS() | Statistics | [inline, static] |
| EPS1() | Statistics | [inline, static] |
| EPS2() | Statistics | [inline, static] |
| FPMIN() | Statistics | [inline, static] |
| FTest(vector< Double_t > vector1, vector< Double_t > vector2) | Statistics | [static] |
| GetSortedIndex(vector< Double_t > vector) | Statistics | [static] |
| IncompleteBetaFunction(Double_t a, Double_t b, Double_t x) | Statistics | [static] |
| IncompleteBetaFunctionContinuedFraction(Double_t a, Double_t b, Double_t x) | Statistics | [static] |
| IncompleteGammaFunctionPSeries(Double_t a, Double_t x) | Statistics | [static] |
| IncompleteGammaFunctionQ(Double_t a, Double_t x) | Statistics | [static] |
| IncompleteGammaFunctionQContinuedFraction(Double_t a, Double_t x) | Statistics | [static] |
| KSTest(vector< Double_t > v1, vector< Double_t > v2) | Statistics | [static] |
| LogOfGammaFunction(Double_t x) | Statistics | [static] |
| Max(Double_t val1, Double_t val2) | Statistics | [static] |
| Max(vector< Double_t > vector) | Statistics | [static] |
| MAXIT() | Statistics | [inline, static] |
| Mean(vector< Double_t > vector) | Statistics | [static] |
| Min(Double_t val1, Double_t val2) | Statistics | [static] |
| Min(vector< Double_t > vector) | Statistics | [static] |
| MutualEntropy(vector< Double_t > vector1, vector< Double_t > vector2) | Statistics | [static] |
| RandomPoisson(Double_t *x, Double_t *par) | Statistics | [static] |
| RMS(vector< Double_t > vector) | Statistics | [static] |
| SortBubble(vector< Double_t > vector) | Statistics | [static] |
| StandardDeviation(vector< Double_t > vector) | Statistics | [static] |
| Statistics() | Statistics | |
| TTestForEqualVariances(vector< Double_t > vector1, vector< Double_t > vector2) | Statistics | [static] |
| TTestForUnequalVariances(vector< Double_t > vector1, vector< Double_t > vector2) | Statistics | [static] |
| UnbiasedStandardDeviation(vector< Double_t > vector) | Statistics | [static] |
| UnbiasedVariance(vector< Double_t > vector) | Statistics | [static] |
| Variance(vector< Double_t > vector) | Statistics | [static] |
| ~Statistics() | Statistics | |
