TestStatistic that returns the ratio of profiled likelihoods.

By default the calculation is:

$\log{ \frac{ \lambda(\mu_{alt} , {conditional \: MLE \: for \: alt \: nuisance}) } { \lambda(\mu_{null} , {conditional \: MLE \: for \: null \: nuisance}) } }$

where $\lambda$ is the profile likelihood ratio, so the MLE for the null and alternate are subtracted off.

If SetSubtractMLE(false) then it calculates:

$\log{ \frac{ L(\mu_{alt} , {conditional \: MLE \: for \: alt \: nuisance}) } { L(\mu_{null} , {conditional \: MLE \: for \: null \: nuisance}) } }$

where $L$ is the Likelihood function.

The values of the parameters of interest for the alternative hypothesis are taken at the time of the construction. If empty, it treats all free parameters as nuisance parameters.

The value of the parameters of interest for the null hypotheses are given at each call of Evaluate.

This test statistic is often called the Tevatron test statistic, because it has been used by the Tevatron experiments.

Definition at line 26 of file RatioOfProfiledLikelihoodsTestStat.h.

Public Member Functions
	RatioOfProfiledLikelihoodsTestStat ()

	RatioOfProfiledLikelihoodsTestStat (RooAbsPdf &nullPdf, RooAbsPdf &altPdf, const RooArgSet *altPOI=0)

	~RatioOfProfiledLikelihoodsTestStat (void)

virtual void	EnableDetailedOutput (bool e=true)

virtual Double_t	Evaluate (RooAbsData &data, RooArgSet &nullParamsOfInterest)
	evaluate the ratio of profile likelihood More...

virtual const RooArgSet *	GetDetailedOutput (void) const
	return detailed output: for fits this can be pulls, processing time, ... The returned pointer will not loose validity until another call to Evaluate. More...

virtual const TString	GetVarName () const

Double_t	ProfiledLikelihood (RooAbsData &data, RooArgSet &poi, RooAbsPdf &pdf)
	returns -logL(poi, conditional MLE of nuisance params) subtract off the global MLE or not depending on the option It is the numerator or the denominator of the ratio (depending on the pdf) More...

virtual void	SetConditionalObservables (const RooArgSet &set)
	interface to set conditional observables. If a test statistics needs them it will re-implement this function More...

virtual void	SetGlobalObservables (const RooArgSet &set)
	interface to set global observables. If a test statistics needs them it will re-implement this function More...

void	SetMinimizer (const char *minimizer)

void	SetPrintLevel (Int_t printLevel)

void	SetReuseNLL (Bool_t flag)

void	SetStrategy (Int_t strategy)

void	SetSubtractMLE (bool subtract)

void	SetTolerance (Double_t tol)

Public Member Functions inherited from RooStats::TestStatistic
virtual	~TestStatistic ()

virtual Double_t	Evaluate (RooAbsData &data, RooArgSet &nullPOI)=0
	Main interface to evaluate the test statistic on a dataset given the values for the Null Parameters Of Interest. More...

virtual const RooArgSet *	GetDetailedOutput () const
	return detailed output: for fits this can be pulls, processing time, ... The returned pointer will not loose validity until another call to Evaluate. More...

virtual const TString	GetVarName () const =0

virtual bool	PValueIsRightTail (void) const
	Defines the sign convention of the test statistic. Overwrite function if necessary. More...

virtual void	SetConditionalObservables (const RooArgSet &)
	interface to set conditional observables. If a test statistics needs them it will re-implement this function More...

virtual void	SetGlobalObservables (const RooArgSet &)
	interface to set global observables. If a test statistics needs them it will re-implement this function More...

Static Public Member Functions
static void	SetAlwaysReuseNLL (Bool_t flag)

Private Attributes
RooArgSet *	fAltPOI

ProfileLikelihoodTestStat	fAltProfile

RooArgSet *	fDetailedOutput

bool	fDetailedOutputEnabled

ProfileLikelihoodTestStat	fNullProfile

Bool_t	fSubtractMLE

Static Private Attributes
static Bool_t	fgAlwaysReuseNll = kTRUE

#include <RooStats/RatioOfProfiledLikelihoodsTestStat.h>

Inheritance diagram for RooStats::RatioOfProfiledLikelihoodsTestStat:

[legend]

Constructor & Destructor Documentation

◆ RatioOfProfiledLikelihoodsTestStat() [1/2]

RooStats::RatioOfProfiledLikelihoodsTestStat::RatioOfProfiledLikelihoodsTestStat ( )

inline

Definition at line 30 of file RatioOfProfiledLikelihoodsTestStat.h.

◆ RatioOfProfiledLikelihoodsTestStat() [2/2]

RooStats::RatioOfProfiledLikelihoodsTestStat::RatioOfProfiledLikelihoodsTestStat	(	RooAbsPdf &	nullPdf,
		RooAbsPdf &	altPdf,
		const RooArgSet *	altPOI = `0`
	)

inline

Definition at line 41 of file RatioOfProfiledLikelihoodsTestStat.h.

◆ ~RatioOfProfiledLikelihoodsTestStat()

RooStats::RatioOfProfiledLikelihoodsTestStat::~RatioOfProfiledLikelihoodsTestStat ( void )

inline

Definition at line 59 of file RatioOfProfiledLikelihoodsTestStat.h.

Member Function Documentation

◆ EnableDetailedOutput()

virtual void RooStats::RatioOfProfiledLikelihoodsTestStat::EnableDetailedOutput ( bool e = true )

inlinevirtual

Definition at line 74 of file RatioOfProfiledLikelihoodsTestStat.h.

◆ Evaluate()

Double_t RooStats::RatioOfProfiledLikelihoodsTestStat::Evaluate	(	RooAbsData &	data,
		RooArgSet &	nullParamsOfInterest
	)

virtual

evaluate the ratio of profile likelihood

Implements RooStats::TestStatistic.

Definition at line 87 of file RatioOfProfiledLikelihoodsTestStat.cxx.

◆ GetDetailedOutput()

virtual const RooArgSet * RooStats::RatioOfProfiledLikelihoodsTestStat::GetDetailedOutput ( void ) const

inlinevirtual

return detailed output: for fits this can be pulls, processing time, ... The returned pointer will not loose validity until another call to Evaluate.

Reimplemented from RooStats::TestStatistic.

Definition at line 118 of file RatioOfProfiledLikelihoodsTestStat.h.

◆ GetVarName()

virtual const TString RooStats::RatioOfProfiledLikelihoodsTestStat::GetVarName ( ) const

inlinevirtual

Implements RooStats::TestStatistic.

Definition at line 129 of file RatioOfProfiledLikelihoodsTestStat.h.

◆ ProfiledLikelihood()

Double_t RooStats::RatioOfProfiledLikelihoodsTestStat::ProfiledLikelihood	(	RooAbsData &	data,
		RooArgSet &	poi,
		RooAbsPdf &	pdf
	)

returns -logL(poi, conditional MLE of nuisance params) subtract off the global MLE or not depending on the option It is the numerator or the denominator of the ratio (depending on the pdf)

L.M. : not sure why this method is needed now

Definition at line 68 of file RatioOfProfiledLikelihoodsTestStat.cxx.