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Uranie / DataServer v4.9.0
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TLogNormalDistribution.h
Go to the documentation of this file.
Interface of the class URANIE::DataServer::TNormalDistribution.
Class of attributes following a probability density function.
Definition TStochAttribut.h:370
Description of the class TLogNormalDistribution.
Definition TLogNormalDistribution.h:93
Double_t getParameterXMin()
Return the minimum value parameter.
Definition TLogNormalDistribution.h:204
virtual Double_t getCDF(Double_t x)
Returns the cumulative distribution for the value x.
TLogNormalDistribution(TString name)
Constructor setting the name.
Double_t _dparameterErrorFactor
The error factor parameter of the LogNormal law.
Definition TLogNormalDistribution.h:98
void createUnderlyingNormal(Double_t M, Double_t errorfactor)
Creates the underlying normal distribution.
Double_t _dparameterMean
The mean parameter of the LogNormal law.
Definition TLogNormalDistribution.h:97
virtual Double_t getPDF(Double_t x)
Returns the probability density for the value x.
Double_t _dparameterXMin
The minimum value parameter of the LogNormal law.
Definition TLogNormalDistribution.h:96
Double_t getUnderlyingNormalParameterMu()
Return the mean parameter of the underlying normal law.
Definition TLogNormalDistribution.h:239
virtual void setUnderlyingNormalParameters(Double_t mu, Double_t sigma, Bool_t recompute=kTRUE)
Set the parameters of the underlying normal law.
virtual void computeTheoreticalInformation()
Computes the theoretical values of various statistical measures.
virtual ~TLogNormalDistribution()
Default destructor.
virtual void setParameterXMin(Double_t xmin, Bool_t recompute=kTRUE)
Set the minimum value parameter.
virtual void setUpperBound(Double_t val)
Sets the upper bound of the attribute.
Double_t getParameterErrorFactor()
Return the error factor parameter.
Definition TLogNormalDistribution.h:189
virtual Double_t getInvCDF(Double_t p)
Returns the value corresponding to the cumulative density p.
virtual void setLowerBound(Double_t val)
Sets the lower bound of the attribute.
TLogNormalDistribution(TString name, Double_t M, Double_t errorfactor, Double_t xmin=0.0)
Constructor setting name, mean and error factor.
virtual void setParameters(Double_t M, Double_t errorfactor, Double_t xmin=0.0, Bool_t recompute=kTRUE)
Set all the parameters.
Double_t getUnderlyingNormalParameterSigma()
Return the standard deviation parameter of the underlying normal law.
Definition TLogNormalDistribution.h:245
TLogNormalDistribution(URANIE::DataServer::TAttribute *att, Double_t M, Double_t errorfactor, Double_t xmin=0.0)
Construction of a TLogNormalDistribution from an existing TAttribute object.
virtual void printLog(Option_t *option="")
Double_t getParameterMean()
Return the mean parameter.
Definition TLogNormalDistribution.h:173
TLogNormalDistribution()
Default constructor.
virtual void setParameterErrorFactor(Double_t errorfactor, Bool_t recompute=kTRUE)
Set the error factor parameter.
virtual void setBounds(Double_t lower, Double_t upper)
Sets the lower and upper bounds of the attribute.
TNormalDistribution * _unormal
The underlying Normal law.
Definition TLogNormalDistribution.h:95
virtual void setParameterMean(Double_t M, Bool_t recompute=kTRUE)
Set the mean parameter.
Description of the class TNormalDistribution.
Definition TNormalDistribution.h:71
Double_t getParameterMu()
Return the rate parameter.
Definition TNormalDistribution.h:132
Double_t getParameterSigma()
Return the mode parameter.
Definition TNormalDistribution.h:147