ROOT » ROOFIT » ROOSTATS » RooStats::NumberCountingUtils

namespace RooStats::NumberCountingUtils

Function Members (Methods)

Class Charts

Function documentation

Double_t BinomialExpP(Double_t sExp, Double_t bExp, Double_t fractionalBUncertainty)
 Expected P-value for s=0 in a ratio of Poisson means.
 Here the background and its uncertainty are provided directly and
 assumed to be from the double Poisson counting setup described in the
 BinomialWithTau functions.
 Normally one would know tau directly, but here it is determiend from
 the background uncertainty.  This is not strictly correct, but a useful
 approximation.
Double_t BinomialWithTauExpP(Double_t sExp, Double_t bExp, Double_t tau)
 Expected P-value for s=0 in a ratio of Poisson means.
 Based on two expectations, a main measurement that might have signal
 and an auxiliarly measurement for the background that is signal free.
 The expected background in the auxiliary measurement is a factor
 tau larger than in the main measurement.
Double_t BinomialObsP(Double_t nObs, Double_t , Double_t fractionalBUncertainty)
 P-value for s=0 in a ratio of Poisson means.
 Here the background and its uncertainty are provided directly and
 assumed to be from the double Poisson counting setup.
 Normally one would know tau directly, but here it is determiend from
 the background uncertainty.  This is not strictly correct, but a useful
 approximation.
Double_t BinomialWithTauObsP(Double_t nObs, Double_t bExp, Double_t tau)
 P-value for s=0 in a ratio of Poisson means.
 Based on two observations, a main measurement that might have signal
 and an auxiliarly measurement for the background that is signal free.
 The expected background in the auxiliary measurement is a factor
 tau larger than in the main measurement.
Double_t BinomialExpZ(Double_t sExp, Double_t bExp, Double_t fractionalBUncertainty)
Double_t BinomialWithTauExpZ(Double_t sExp, Double_t bExp, Double_t tau)
Double_t BinomialObsZ(Double_t nObs, Double_t bExp, Double_t fractionalBUncertainty)
Double_t BinomialWithTauObsZ(Double_t nObs, Double_t bExp, Double_t tau)