109 totalExpectedChisq = 0.0;
110 expectedChisqPerRun.clear();
112 Double_t value = 0.0;
117 expectedChisqPerRun.push_back(value);
118 totalExpectedChisq += value;
124 expectedChisqPerRun.push_back(value);
125 totalExpectedChisq += value;
virtual Double_t GetAsymmetryMaximumLikelihood(const std::vector< Double_t > &par) const
virtual Double_t GetMuMinusMaximumLikelihood(const std::vector< Double_t > &par) const
virtual Double_t GetSingleHistoChisq(const std::vector< Double_t > &par) const
PFitterFcn(PRunListCollection *runList, Bool_t useChi2)
virtual Double_t GetNonMusrMaximumLikelihood(const std::vector< Double_t > &par) const
virtual Double_t GetNonMusrChisq(const std::vector< Double_t > &par) const
virtual Double_t GetAsymmetryRRFMaximumLikelihood(const std::vector< Double_t > &par) const
Double_t operator()(const std::vector< Double_t > &par) const
virtual Double_t GetAsymmetryBNMRChisq(const std::vector< Double_t > &par) const
void CalcExpectedChiSquare(const std::vector< Double_t > &par, Double_t &totalExpectedChisq, std::vector< Double_t > &expectedChisqPerRun)
virtual Double_t GetSingleRunMaximumLikelihoodExpected(const std::vector< Double_t > &par, const UInt_t idx) const
virtual Double_t GetAsymmetryBNMRMaximumLikelihood(const std::vector< Double_t > &par) const
virtual Double_t GetMuMinusChisq(const std::vector< Double_t > &par) const
virtual Double_t GetAsymmetryChisq(const std::vector< Double_t > &par) const
Bool_t fUseChi2
true = chisq fit, false = log max-likelihood fit
virtual Double_t GetSingleHistoMaximumLikelihood(const std::vector< Double_t > &par) const
virtual Double_t GetSingleHistoRRFChisq(const std::vector< Double_t > &par) const
virtual Double_t GetSingleHistoRRFMaximumLikelihood(const std::vector< Double_t > &par) const
virtual Double_t GetSingleRunChisqExpected(const std::vector< Double_t > &par, const UInt_t idx) const
virtual Double_t GetAsymmetryRRFChisq(const std::vector< Double_t > &par) const
PRunListCollection * fRunListCollection
pre-processed data to be fitted
virtual UInt_t GetNoOfSingleHisto() const
returns the number of single histogram data sets present in the msr-file
Double_t fUp
for chisq == 1.0, i.e. errors are 1 std. deviation errors. for log max-likelihood == 0...