class RooStats::TestStatSampler

TestStatSampler is an interface class for a tools which produce RooStats SamplingDistributions. Tools that implement this interface are expected to be used for coverage studies, the Neyman Construction, etc.

Function Members (Methods)

This is an abstract class, constructors will not be documented.
Look at the header to check for available constructors.

public:

virtual	~TestStatSampler()
static TClass*	Class()
virtual Double_t	ConfidenceLevel() const
virtual Double_t	EvaluateTestStatistic(RooAbsData& data, RooArgSet& paramsOfInterest)
virtual RooStats::SamplingDistribution*	GetSamplingDistribution(RooArgSet& paramsOfInterest)
virtual const RooAbsArg*	GetTestStatistic() const
virtual void	Initialize(RooAbsArg& testStatistic, RooArgSet& paramsOfInterest, RooArgSet& nuisanceParameters)
virtual TClass*	IsA() const
RooStats::TestStatSampler&	operator=(const RooStats::TestStatSampler&)
virtual void	SetConfidenceLevel(Double_t cl)
virtual void	SetNuisanceParameters(RooArgSet&)
virtual void	SetObservables(RooArgSet&)
virtual void	SetParameters(RooArgSet&)
virtual void	SetPdf(RooAbsPdf&)
virtual void	SetTestSize(Double_t size)
virtual void	SetTestStatistic(RooAbsArg&) const
virtual void	ShowMembers(TMemberInspector& insp, char* parent)
virtual void	Streamer(TBuffer& b)
void	StreamerNVirtual(TBuffer& b)

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

virtual ~TestStatSampler()

     TestStatSampler();

{}

SamplingDistribution* GetSamplingDistribution(RooArgSet& paramsOfInterest)

 Main interface to get a ConfInterval, pure virtual

Double_t EvaluateTestStatistic(RooAbsData& data, RooArgSet& paramsOfInterest)

 Main interface to evaluate the test statistic on a dataset

const RooAbsArg* GetTestStatistic() const

 Get the TestStatistic

Double_t ConfidenceLevel() const

 Get the Confidence level for the test

void Initialize(RooAbsArg& testStatistic, RooArgSet& paramsOfInterest, RooArgSet& nuisanceParameters)

 Common Initialization

void SetPdf(RooAbsPdf& )

 Set the Pdf, add to the the workspace if not already there

void SetParameters(RooArgSet& )

 specify the parameters of interest in the interval

void SetNuisanceParameters(RooArgSet& )

 specify the observables in the dataset (needed to evaluate the test statistic)

void SetObservables(RooArgSet& )

void SetTestSize(Double_t size)

 set the size of the test (rate of Type I error) ( Eg. 0.05 for a 95% Confidence Interval)

void SetConfidenceLevel(Double_t cl)

void SetTestStatistic(RooAbsArg& ) const

 Set the TestStatistic (want the argument to be a function of the data & parameter points