Jpp
18.0.0-rc.4
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::JMEstimatorNormal |
Normal M-estimator. More... | |
struct | JFIT::JMEstimatorLorentzian |
Lorentzian M-estimator. More... | |
struct | JFIT::JMEstimatorLinear |
Linear M-estimator. More... | |
struct | JFIT::JMEstimatorNull |
Null M-estimator. More... | |
struct | JFIT::JMEstimatorTukey |
Tukey's biweight M-estimator. More... | |
struct | JFIT::JMEstimatorNormalWithBackground |
Normal M-estimator with background. 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, JFIT::EM_TUKEY = 4, JFIT::EM_NORMALWITHBACKGROUND = 5 } |
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.