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    Jpp
    16.0.3
    
   the software that should make you happy 
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Maximum likelihood estimator (M-estimators). More...
#include <cmath>Go to the source code of this file.
Classes | |
| struct | JFIT::JMEstimator | 
| Interface for maximum likelihood estimator (M-estimator).  More... | |
| struct | JFIT::JMEstimatorNull | 
| Null M-estimator.  More... | |
| struct | JFIT::JMEstimatorNormal | 
| Normal M-estimator.  More... | |
| struct | JFIT::JMEstimatorLorentzian | 
| Lorentzian M-estimator.  More... | |
| struct | JFIT::JMEstimatorLinear | 
| Linear M-estimator.  More... | |
| struct | JFIT::JMEstimatorTukey | 
| Tukey's biweight M-estimator.  More... | |
Namespaces | |
| JFIT | |
| Auxiliary classes and methods for linear and iterative data regression.  | |
| JPP | |
| This name space includes all other name spaces (except KM3NETDAQ, KM3NET and ANTARES).  | |
Enumerations | |
| enum | JFIT::JMEstimator_t { JFIT::EM_NORMAL = 0, JFIT::EM_LORENTZIAN = 1, JFIT::EM_LINEAR = 2, JFIT::EM_NULL = 3 } | 
| Definition of the various M-Estimators available to use.  More... | |
Functions | |
| JMEstimator * | JFIT::getMEstimator (const int type) | 
| Get M-Estimator.  More... | |
Maximum likelihood estimator (M-estimators).
Definition in file JMEstimator.hh.
 1.8.5