|
Class Summary |
| CLimits |
Algorithm to compute 95% CL limits using the Likelihood ratio semi-Bayesian
method. |
| ConfidenceLevel |
Confidence level calculations. |
| ConfInterval |
Computes the mean, standard deviation and 95% approximate confidence
interval. |
| DataKeeper |
A convenient class to keep data with error for an internal representation. |
| DataSource |
This class serves as input for the Limit.ComputeLimit method. |
| EEcentricity |
A class for accentricity calculations using a principle component analysis. |
| Moments |
Calculations of moments of a distribution. |
| MomentsFac |
Calculations of factorial moments of a distribution. |
| MomentsFacNorm |
Calculations of normalized factorial moments of a distribution. |
| MomentsNorm |
Calculations of normalized reduced moments of a distribution. |