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Uranie / DataServer
v4.10.0
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TGeneralizedNormalV2Distribution.h
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virtual void setParameters(Double_t xi, Double_t alpha, Double_t kappa, Bool_t recompute=kTRUE)
Set all the parameters.
Double_t _dparameterAlpha
Scale parameter .
Definition: TGeneralizedNormalV2Distribution.h:74
virtual ~TGeneralizedNormalV2Distribution()
Default destructor.
Double_t getParameterXi()
Return the rate parameter.
Definition: TGeneralizedNormalV2Distribution.h:134
Double_t _dparameterKappa
Shape parameter .
Definition: TGeneralizedNormalV2Distribution.h:75
virtual void setParameterKappa(Double_t kappa, Bool_t recompute=kTRUE)
Set the shape parameter.
virtual void setParameterXi(Double_t xi, Bool_t recompute=kTRUE)
Set the mean parameter.
Double_t _dparameterXi
Position parameter .
Definition: TGeneralizedNormalV2Distribution.h:73
Definition: TStochAttribut.h:369
TGeneralizedNormalV2Distribution()
Default constructor.
virtual void computeTheoreticalInformation()
Computes the theoretical values of various statistical measures.
virtual Double_t getPDF(Double_t x)
Returns the probability density for the value x.
Class of attributes following a probability density function.
Double_t getParameterAlpha()
Return the scale parameter.
Definition: TGeneralizedNormalV2Distribution.h:149
virtual void setParameterAlpha(Double_t alpha, Bool_t recompute=kTRUE)
Set the scale parameter.
Double_t getParameterKappa()
Return the shape parameter.
Definition: TGeneralizedNormalV2Distribution.h:164
Description of the class TGeneralizedNormalV2Distribution.
Definition: TGeneralizedNormalV2Distribution.h:70
virtual void printLog()
Display information specific to this class.
virtual Double_t getInvCDF(Double_t p)
Returns the value corresponding to the cumulative density p.
virtual Double_t getCDF(Double_t x)
Returns the cumulative distribution for the value x.