| RooHistError(const RooHistError&) | |
| virtual | ~RooHistError() |
| static TClass* | Class() |
| static RooAbsFunc* | createBinomialSum(Int_t n, Int_t m, Bool_t eff) |
| static RooAbsFunc* | createPoissonSum(Int_t n) |
| Bool_t | getBinomialIntervalAsym(Int_t n, Int_t m, Double_t& a1, Double_t& a2, Double_t nSigma = 1) const |
| Bool_t | getBinomialIntervalEff(Int_t n, Int_t m, Double_t& a1, Double_t& a2, Double_t nSigma = 1) const |
| Bool_t | getInterval(const RooAbsFunc* Qu, const RooAbsFunc* Ql, Double_t pointEstimate, Double_t stepSize, Double_t& lo, Double_t& hi, Double_t nSigma) const |
| Bool_t | getPoissonInterval(Int_t n, Double_t& mu1, Double_t& mu2, Double_t nSigma = 1) const |
| static const RooHistError& | instance() |
| virtual TClass* | IsA() const |
| RooHistError& | operator=(const RooHistError&) |
| virtual void | ShowMembers(TMemberInspector& insp, char* parent) |
| virtual void | Streamer(TBuffer& b) |
| void | StreamerNVirtual(TBuffer& b) |
| RooHistError() | |
| Bool_t | getPoissonIntervalCalc(Int_t n, Double_t& mu1, Double_t& mu2, Double_t nSigma = 1) const |
| Double_t | seek(const RooAbsFunc& f, Double_t startAt, Double_t step, Double_t value) const |
Return a reference to a singleton object that is created the first time this method is called. Only one object will be constructed per ROOT session.
Return a confidence interval for the expected number of events given n observed (unweighted) events. The interval will contain the same probability as nSigma of a Gaussian. Uses a central interval unless this does not enclose the point estimate n (ie, for small n) in which case the interval is adjusted to start at n. This method uses a lookup table to return precalculated results for n<1000
Calculate a confidence interval for the expected number of events given n observed (unweighted) events. The interval will contain the same probability as nSigma of a Gaussian. Uses a central interval unless this does not enclose the point estimate n (ie, for small n) in which case the interval is adjusted to start at n.
Return 'nSigma' binomial confidence interval for (n,m). The result is return in asym1 and asym2. If the return values is kFALSE and error occurred.
Return 'nSigma' binomial confidence interval for (n,m). The result is return in asym1 and asym2. If the return values is kFALSE and error occurred.
Calculate a confidence interval using the cumulative functions provided.
The interval will be "central" when both cumulative functions are provided,
unless this would exclude the pointEstimate, in which case a one-sided interval
pinned at the point estimate is returned instead.
Scan f(x)-value until it changes sign. Start at the specified point and take constant steps of the specified size. Give up after 1000 steps.
Create and return a BinomialSum function binding