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class RooStats::MaxLikelihoodEstimateTestStat: public RooStats::TestStatistic

MaxLikelihoodEstimateTestStat: TestStatistic that returns maximum likelihood estimate of a specified parameter.

Function Members (Methods)

Data Members

private:
RooArgSetfConditionalObs
TStringfMinimizer
RooRealVar*fParameter
RooAbsPdf*fPdf
Int_tfPrintLevel
Int_tfStrategy
boolfUpperLimit

Class Charts

Inheritance Inherited Members Includes Libraries
Class Charts

Function documentation

MaxLikelihoodEstimateTestStat()




 MaxLikelihoodEstimateTestStat(RooAbsPdf& pdf, RooRealVar& parameter)






Double_t Evaluate(RooAbsData& data, RooArgSet& )






const TString GetVarName() const




void PValueIsRightTail(bool isright)



{  fUpperLimit = isright; }






bool PValueIsRightTail(void)



{ return fUpperLimit; }






void SetConditionalObservables(const RooArgSet& set)


 set the conditional observables which will be used when creating the NLL
 so the pdf's will not be normalized on the conditional observables when computing the NLL




{fConditionalObs.removeAll(); fConditionalObs.add(set);}