library: libRooFit
#include "RooHistError.h"

RooHistError

class description - header file - source file - inheritance tree (.pdf)

class RooHistError

Inheritance Chart:
RooHistError
 
    private:

                   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

    public:

                                 RooHistError(const RooHistError&)
                         virtual ~RooHistError()
                  static TClass* Class()
              static RooAbsFunc* createBinomialSum(Int_t n, Int_t m)
              static RooAbsFunc* createPoissonSum(Int_t n)
                          Bool_t getBinomialInterval(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)

Data Members

    private:

      Double_t _poissonLoLUT[1000]  
      Double_t _poissonHiLUT[1000]

Class Description

const RooHistError & instance()
 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.
RooHistError()
 Construct our singleton object.
Bool_t getPoissonInterval(Int_t n, Double_t &mu1, Double_t &mu2, Double_t nSigma)
 Use lookup table for most common cases
Bool_t getPoissonIntervalCalc(Int_t n, Double_t &mu1, Double_t &mu2, Double_t nSigma)
 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.
Bool_t getBinomialInterval(Int_t n, Int_t m, Double_t &asym1, Double_t &asym2, Double_t nSigma)
 sanity checks
Bool_t getInterval(const RooAbsFunc *Qu, const RooAbsFunc *Ql, Double_t pointEstimate, Double_t stepSize, Double_t &lo, Double_t &hi, Double_t nSigma)
 Calculate a confidence interval using the cummulative functions provided.
 The interval will be "central" when both cummulative functions are provided,
 unless this would exclude the pointEstimate, in which case a one-sided interval
 pinned at the point estimate is returned instead.
Double_t seek(const RooAbsFunc &f, Double_t startAt, Double_t step, Double_t value)
 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.
virtual ~RooHistError()


 RooHistError()







Last update: Tue Jul 11 11:45:46 2006

Copyright  (c) 2000-2005, Regents of the University of California          *









ROOT page - Class index - Class Hierarchy - Top of the page









This page has been automatically generated. If you have any comments or suggestions about the page layout send a mail to ROOT support, or contact the developers with any questions or problems regarding ROOT.