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Uranie / DataServer v4.9.0
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TNormalDistribution.h
Go to the documentation of this file.
Class of attributes following a probability density function.
Definition TStochAttribut.h:370
Description of the class TNormalDistribution.
Definition TNormalDistribution.h:71
TNormalDistribution(TString name, Double_t mu, Double_t sigma)
Constructor setting name, scale and location.
virtual ~TNormalDistribution()
Default destructor.
Double_t _dparameterSigma
Standard deviation parameter .
Definition TNormalDistribution.h:74
Double_t getParameterMu()
Return the rate parameter.
Definition TNormalDistribution.h:132
virtual Double_t getPDF(Double_t x)
Returns the probability density for the value x.
TNormalDistribution(TString name)
Constructor setting the name.
virtual Double_t getInvCDF(Double_t p)
Returns the value corresponding to the cumulative density p.
TNormalDistribution()
Default constructor.
Double_t _dparameterMu
Mean parameter .
Definition TNormalDistribution.h:73
TNormalDistribution(URANIE::DataServer::TAttribute *att, Double_t mu, Double_t sigma)
Construction of a TNormalDistribution from an existing TAttribute object.
virtual void printLog(Option_t *option="")
virtual void setParameterSigma(Double_t sigma, Bool_t recompute=kTRUE)
Set the standard deviation parameter.
virtual void setParameterMu(Double_t mu, Bool_t recompute=kTRUE)
Set the mean parameter.
Double_t getParameterSigma()
Return the mode parameter.
Definition TNormalDistribution.h:147
virtual void computeTheoreticalInformation()
Computes the theoretical values of various statistical measures.
virtual Double_t getCDF(Double_t x)
Returns the cumulative distribution for the value x.
virtual void setParameters(Double_t mu, Double_t sigma, Bool_t recompute=kTRUE)
Set all the parameters.