HypoTestResult is a base class for results from hypothesis tests.

Any tool inheriting from HypoTestCalculator can return a HypoTestResult. As such, it stores a p-value for the null-hypothesis (eg. background-only) and an alternate hypothesis (eg. signal+background). The p-values can also be transformed into confidence levels ( \(CL_{b}\), \(CL_{s+b}\)) in a trivial way. The ratio of the \(CL_{s+b}\) to \(CL_{b}\) is often called \(CL_{s}\), and is considered useful, though it is not a probability. Finally, the p-value of the null can be transformed into a number of equivalent Gaussian sigma using the Significance method.

The p-value of the null for a given test statistic is rigorously defined and this is the starting point for the following conventions.

Conventions used in this class

The p-value for the null and alternate are on the same side of the observed value of the test statistic. This is the more standard convention and avoids confusion when doing inverted tests.

For exclusion, we also want the formula \(CL_{s} = CL_{s+b} / CL_{b}\) to hold which therefore defines our conventions for \(CL_{s+b}\) and \(CL_{b}\). \(CL_{s}\) was specifically invented for exclusion and therefore all quantities need be related through the assignments as they are for exclusion: \(CL_{s+b} = p_{s+b}\); \(CL_{b} = p_{b}\). This is derived by considering the scenarios of a powerful and not powerful inverted test, where for the not so powerful test, \(CL_{s}\) must be close to one.

For results of Hypothesis tests, \(CL_{s}\) has no similar direct interpretation as for exclusion and can be larger than one.

Definition at line 22 of file HypoTestResult.h.

Public Member Functions
	HypoTestResult (const char *name, Double_t nullp, Double_t altp)
	constructor from name, null and alternate p values

	HypoTestResult (const char *name=0)
	default constructor

	HypoTestResult (const HypoTestResult &other)
	copy constructor

virtual	~HypoTestResult ()
	destructor

virtual Double_t	AlternatePValue () const
	Return p-value for alternate hypothesis.

virtual void	Append (const HypoTestResult *other)
	add values from another HypoTestResult

virtual Double_t	CLb () const
	Convert NullPValue into a "confidence level".

Double_t	CLbError () const
	The error on the "confidence level" of the null hypothesis.

virtual Double_t	CLs () const
	\(CL_{s}\) is simply \(CL_{s+b}/CL_{b}\) (not a method, but a quantity)

Double_t	CLsError () const
	The error on the ratio \(CL_{s+b}/CL_{b}\).

virtual Double_t	CLsplusb () const
	Convert AlternatePValue into a "confidence level".

Double_t	CLsplusbError () const
	The error on the "confidence level" of the alternative hypothesis.

const RooArgList *	GetAllTestStatisticsData (void) const

RooDataSet *	GetAltDetailedOutput (void) const

SamplingDistribution *	GetAltDistribution (void) const

Bool_t	GetBackGroundIsAlt (void) const

RooDataSet *	GetFitInfo () const

RooDataSet *	GetNullDetailedOutput (void) const

SamplingDistribution *	GetNullDistribution (void) const

Bool_t	GetPValueIsRightTail (void) const

Double_t	GetTestStatisticData (void) const

Bool_t	HasTestStatisticData (void) const

virtual Double_t	NullPValue () const
	Return p-value for null hypothesis.

Double_t	NullPValueError () const
	The error on the Null p-value.

HypoTestResult &	operator= (const HypoTestResult &other)
	assignment operator

void	Print (const Option_t *="") const
	Print out some information about the results Note: use Alt/Null labels for the hypotheses here as the Null might be the s+b hypothesis.

void	SetAllTestStatisticsData (const RooArgList *tsd)

void	SetAltDetailedOutput (RooDataSet *d)

void	SetAltDistribution (SamplingDistribution *alt)

void	SetBackgroundAsAlt (Bool_t l=kTRUE)

void	SetFitInfo (RooDataSet *d)

void	SetNullDetailedOutput (RooDataSet *d)

void	SetNullDistribution (SamplingDistribution *null)

void	SetPValueIsRightTail (Bool_t pr)

void	SetTestStatisticData (const Double_t tsd)

virtual Double_t	Significance () const
	familiar name for the Null p-value in terms of 1-sided Gaussian significance

Double_t	SignificanceError () const
	The error on the significance, computed from NullPValueError via error propagation.

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TNamed &named)
	TNamed copy ctor.

	TNamed (const TString &name, const TString &title)

virtual	~TNamed ()
	TNamed destructor.

virtual void	Clear (Option_t *option="")
	Set name and title to empty strings ("").

virtual TObject *	Clone (const char *newname="") const
	Make a clone of an object using the Streamer facility.

virtual Int_t	Compare (const TObject *obj) const
	Compare two TNamed objects.

virtual void	Copy (TObject &named) const
	Copy this to obj.

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer.

virtual const char *	GetName () const
	Returns name of object.

virtual const char *	GetTitle () const
	Returns title of object.

virtual ULong_t	Hash () const
	Return hash value for this object.

virtual Bool_t	IsSortable () const

virtual void	ls (Option_t *option="") const
	List TNamed name and title.

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator.

virtual void	Print (Option_t *option="") const
	Print TNamed name and title.

virtual void	SetName (const char *name)
	Set the name of the TNamed.

virtual void	SetNameTitle (const char name, const char title)
	Set all the TNamed parameters (name and title).

virtual void	SetTitle (const char *title="")
	Set the title of the TNamed.

virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject.

Public Member Functions inherited from TObject
	TObject ()
	TObject constructor.

	TObject (const TObject &object)
	TObject copy ctor.

virtual	~TObject ()
	TObject destructor.

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract.

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad.

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action.

ULong_t	CheckedHash ()
	Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.

virtual const char *	ClassName () const
	Returns name of class to which the object belongs.

virtual void	Delete (Option_t *option="")
	Delete this object.

virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object.

virtual void	Draw (Option_t *option="")
	Default Draw method for all objects.

virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs.

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current selected pad for instance with: `gROOT->SetSelectedPad(gPad)`.

virtual void	Dump () const
	Dump contents of object on stdout.

virtual void	Error (const char method, const char msgfmt,...) const
	Issue error message.

virtual void	Execute (const char method, const char params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g.

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray.

virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py).

virtual void	Fatal (const char method, const char msgfmt,...) const
	Issue fatal error message.

virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes.

virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes.

virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object.

virtual const char *	GetIconName () const
	Returns mime type name of object.

virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py).

virtual Option_t *	GetOption () const

virtual UInt_t	GetUniqueID () const
	Return the unique object id.

virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out.

Bool_t	HasInconsistentHash () const
	Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.

virtual void	Info (const char method, const char msgfmt,...) const
	Issue info message.

virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname".

virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl.

virtual void	Inspect () const
	Dump contents of this object in a graphics canvas.

void	InvertBit (UInt_t f)

Bool_t	IsDestructed () const
	IsDestructed.

virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory).

virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects).

R__ALWAYS_INLINE Bool_t	IsOnHeap () const

R__ALWAYS_INLINE Bool_t	IsZombie () const

void	MayNotUse (const char *method) const
	Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary).

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification.

void	Obsolete (const char method, const char asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete.

void	operator delete (void *ptr)
	Operator delete.

void	operator delete[] (void *ptr)
	Operator delete [].

void *	operator new (size_t sz)

void *	operator new (size_t sz, void *vp)

void *	operator new[] (size_t sz)

void *	operator new[] (size_t sz, void *vp)

TObject &	operator= (const TObject &rhs)
	TObject assignment operator.

virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself.

virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list.

virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory.

virtual void	RecursiveRemove (TObject *obj)
	Recursively remove this object from a list.

void	ResetBit (UInt_t f)

virtual void	SaveAs (const char filename="", Option_t option="") const
	Save this object in the file specified by filename.

virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out".

void	SetBit (UInt_t f)

void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f.

virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object.

virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id.

virtual void	SysError (const char method, const char msgfmt,...) const
	Issue system error message.

R__ALWAYS_INLINE Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

virtual void	UseCurrentStyle ()
	Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.

virtual void	Warning (const char method, const char msgfmt,...) const
	Issue warning message.

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory.

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory.

Protected Attributes
const RooArgList *	fAllTestStatisticsData

RooDataSet *	fAltDetailedOutput

SamplingDistribution *	fAltDistr

Double_t	fAlternatePValue

Double_t	fAlternatePValueError

Bool_t	fBackgroundIsAlt

std::unique_ptr< RooDataSet >	fFitInfo

RooDataSet *	fNullDetailedOutput

SamplingDistribution *	fNullDistr

Double_t	fNullPValue

Double_t	fNullPValueError

Bool_t	fPValueIsRightTail

Double_t	fTestStatisticData

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

Private Member Functions
void	UpdatePValue (const SamplingDistribution *distr, Double_t &pvalue, Double_t &perror, Bool_t pIsRightTail)
	updates the pvalue if sufficient data is available

Additional Inherited Members
Public Types inherited from TObject
enum	{ kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 , kBitMask = 0x00ffffff }

enum	{ kSingleKey = BIT(0) , kOverwrite = BIT(1) , kWriteDelete = BIT(2) }

enum	EDeprecatedStatusBits { kObjInCanvas = BIT(3) }

enum	EStatusBits { kCanDelete = BIT(0) , kMustCleanup = BIT(3) , kIsReferenced = BIT(4) , kHasUUID = BIT(5) , kCannotPick = BIT(6) , kNoContextMenu = BIT(8) , kInvalidObject = BIT(13) }

Static Public Member Functions inherited from TObject
static Longptr_t	GetDtorOnly ()
	Return destructor only flag.

static Bool_t	GetObjectStat ()
	Get status of object stat flag.

static void	SetDtorOnly (void *obj)
	Set destructor only flag.

static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable.

Protected Types inherited from TObject
enum	{ kOnlyPrepStep = BIT(3) }

Protected Member Functions inherited from TObject
virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected).

void	MakeZombie ()

#include <RooStats/HypoTestResult.h>

Inheritance diagram for RooStats::HypoTestResult:

[legend]

Constructor & Destructor Documentation

◆ HypoTestResult() [1/3]

HypoTestResult::HypoTestResult ( const char * name = 0 )

explicit

default constructor

Default constructor.

Definition at line 77 of file HypoTestResult.cxx.

◆ HypoTestResult() [2/3]

HypoTestResult::HypoTestResult ( const HypoTestResult & other )

copy constructor

Definition at line 109 of file HypoTestResult.cxx.

◆ HypoTestResult() [3/3]

HypoTestResult::HypoTestResult	(	const char *	name,
		Double_t	nullp,
		Double_t	altp
	)

constructor from name, null and alternate p values

Alternate constructor.

Definition at line 93 of file HypoTestResult.cxx.

◆ ~HypoTestResult()

HypoTestResult::~HypoTestResult ( )

virtual

destructor

Destructor.

Definition at line 126 of file HypoTestResult.cxx.

Member Function Documentation

◆ AlternatePValue()

virtual Double_t RooStats::HypoTestResult::AlternatePValue ( ) const

inlinevirtual

Return p-value for alternate hypothesis.

Reimplemented in RooStats::HybridResult.

Definition at line 48 of file HypoTestResult.h.

◆ Append()

void HypoTestResult::Append ( const HypoTestResult * other )

virtual

add values from another HypoTestResult

Add additional toy-MC experiments to the current results.

Use the data test statistics of the added object if it is not already set (otherwise, ignore the new one).

Definition at line 171 of file HypoTestResult.cxx.

◆ CLb()

virtual Double_t RooStats::HypoTestResult::CLb ( ) const

inlinevirtual

Convert NullPValue into a "confidence level".

Definition at line 51 of file HypoTestResult.h.

◆ CLbError()

Double_t HypoTestResult::CLbError ( ) const

The error on the "confidence level" of the null hypothesis.

compute \(CL_{b}\) error \(CL_{b}\) = 1 - NullPValue() must use opposite condition that routine above

Definition at line 273 of file HypoTestResult.cxx.

◆ CLs()

virtual Double_t RooStats::HypoTestResult::CLs ( ) const

inlinevirtual

\(CL_{s}\) is simply \(CL_{s+b}/CL_{b}\) (not a method, but a quantity)

Definition at line 57 of file HypoTestResult.h.

◆ CLsError()

Double_t HypoTestResult::CLsError ( ) const

The error on the ratio \(CL_{s+b}/CL_{b}\).

Returns an estimate of the error on \(CL_{s}\) through combination of the errors on \(CL_{b}\) and \(CL_{s+b}\):

\[ \sigma_{CL_s} = CL_s \sqrt{\left( \frac{\sigma_{CL_{s+b}}}{CL_{s+b}} \right)^2 + \left( \frac{\sigma_{CL_{b}}}{CL_{b}} \right)^2} \]

Definition at line 298 of file HypoTestResult.cxx.

◆ CLsplusb()

virtual Double_t RooStats::HypoTestResult::CLsplusb ( ) const

inlinevirtual

Convert AlternatePValue into a "confidence level".

Definition at line 54 of file HypoTestResult.h.

◆ CLsplusbError()

Double_t HypoTestResult::CLsplusbError ( ) const

The error on the "confidence level" of the alternative hypothesis.

Definition at line 279 of file HypoTestResult.cxx.

◆ GetAllTestStatisticsData()

const RooArgList * RooStats::HypoTestResult::GetAllTestStatisticsData ( void ) const

inline

Definition at line 76 of file HypoTestResult.h.

◆ GetAltDetailedOutput()

RooDataSet * RooStats::HypoTestResult::GetAltDetailedOutput ( void ) const

inline

Definition at line 73 of file HypoTestResult.h.

◆ GetAltDistribution()

SamplingDistribution * RooStats::HypoTestResult::GetAltDistribution ( void ) const

inline

Definition at line 71 of file HypoTestResult.h.

◆ GetBackGroundIsAlt()

Bool_t RooStats::HypoTestResult::GetBackGroundIsAlt ( void ) const

inline

Definition at line 91 of file HypoTestResult.h.

◆ GetFitInfo()

RooDataSet * RooStats::HypoTestResult::GetFitInfo ( ) const

inline

Definition at line 74 of file HypoTestResult.h.

◆ GetNullDetailedOutput()

RooDataSet * RooStats::HypoTestResult::GetNullDetailedOutput ( void ) const

inline

Definition at line 72 of file HypoTestResult.h.

◆ GetNullDistribution()

SamplingDistribution * RooStats::HypoTestResult::GetNullDistribution ( void ) const

inline

Definition at line 70 of file HypoTestResult.h.

◆ GetPValueIsRightTail()

Bool_t RooStats::HypoTestResult::GetPValueIsRightTail ( void ) const

inline

Definition at line 88 of file HypoTestResult.h.

◆ GetTestStatisticData()

Double_t RooStats::HypoTestResult::GetTestStatisticData ( void ) const

inline

Definition at line 75 of file HypoTestResult.h.

◆ HasTestStatisticData()

Bool_t HypoTestResult::HasTestStatisticData ( void ) const

Definition at line 257 of file HypoTestResult.cxx.

◆ NullPValue()

virtual Double_t RooStats::HypoTestResult::NullPValue ( ) const

inlinevirtual

Return p-value for null hypothesis.

Reimplemented in RooStats::HybridResult.

Definition at line 45 of file HypoTestResult.h.

◆ NullPValueError()

Double_t HypoTestResult::NullPValueError ( ) const

The error on the Null p-value.

Definition at line 263 of file HypoTestResult.cxx.

◆ operator=()

HypoTestResult & HypoTestResult::operator= ( const HypoTestResult & other )

assignment operator

Definition at line 140 of file HypoTestResult.cxx.

◆ Print()

void HypoTestResult::Print ( const Option_t * = "" ) const

Print out some information about the results Note: use Alt/Null labels for the hypotheses here as the Null might be the s+b hypothesis.

Definition at line 339 of file HypoTestResult.cxx.

◆ SetAllTestStatisticsData()

void HypoTestResult::SetAllTestStatisticsData ( const RooArgList * tsd )

Definition at line 233 of file HypoTestResult.cxx.

◆ SetAltDetailedOutput()

void RooStats::HypoTestResult::SetAltDetailedOutput ( RooDataSet * d )

inline

Definition at line 81 of file HypoTestResult.h.

◆ SetAltDistribution()

void HypoTestResult::SetAltDistribution ( SamplingDistribution * alt )

Definition at line 210 of file HypoTestResult.cxx.

◆ SetBackgroundAsAlt()

void RooStats::HypoTestResult::SetBackgroundAsAlt ( Bool_t l = kTRUE )

inline

Definition at line 90 of file HypoTestResult.h.

◆ SetFitInfo()

void RooStats::HypoTestResult::SetFitInfo ( RooDataSet * d )

inline

Definition at line 83 of file HypoTestResult.h.

◆ SetNullDetailedOutput()

void RooStats::HypoTestResult::SetNullDetailedOutput ( RooDataSet * d )

inline

Definition at line 82 of file HypoTestResult.h.

◆ SetNullDistribution()

void HypoTestResult::SetNullDistribution ( SamplingDistribution * null )

Definition at line 217 of file HypoTestResult.cxx.

◆ SetPValueIsRightTail()

void HypoTestResult::SetPValueIsRightTail ( Bool_t pr )

Definition at line 248 of file HypoTestResult.cxx.

◆ SetTestStatisticData()

void HypoTestResult::SetTestStatisticData ( const Double_t tsd )

Definition at line 224 of file HypoTestResult.cxx.

◆ Significance()

virtual Double_t RooStats::HypoTestResult::Significance ( ) const

inlinevirtual

familiar name for the Null p-value in terms of 1-sided Gaussian significance

Definition at line 68 of file HypoTestResult.h.

◆ SignificanceError()

Double_t HypoTestResult::SignificanceError ( ) const

The error on the significance, computed from NullPValueError via error propagation.

Taylor expansion series approximation for standard deviation (error propagation)

Definition at line 286 of file HypoTestResult.cxx.

◆ UpdatePValue()

void HypoTestResult::UpdatePValue	(	const SamplingDistribution *	distr,
		Double_t &	pvalue,
		Double_t &	perror,
		Bool_t	pIsRightTail
	)

private

updates the pvalue if sufficient data is available

Definition at line 316 of file HypoTestResult.cxx.

Member Data Documentation

◆ fAllTestStatisticsData

const RooArgList* RooStats::HypoTestResult::fAllTestStatisticsData

protected

Definition at line 122 of file HypoTestResult.h.

◆ fAltDetailedOutput

RooDataSet* RooStats::HypoTestResult::fAltDetailedOutput

protected

Definition at line 126 of file HypoTestResult.h.

◆ fAltDistr

SamplingDistribution* RooStats::HypoTestResult::fAltDistr

protected

Definition at line 124 of file HypoTestResult.h.

◆ fAlternatePValue

Double_t RooStats::HypoTestResult::fAlternatePValue

mutableprotected

Definition at line 118 of file HypoTestResult.h.

◆ fAlternatePValueError

Double_t RooStats::HypoTestResult::fAlternatePValueError

mutableprotected

Definition at line 120 of file HypoTestResult.h.

◆ fBackgroundIsAlt

Bool_t RooStats::HypoTestResult::fBackgroundIsAlt

protected

Definition at line 129 of file HypoTestResult.h.

◆ fFitInfo

std::unique_ptr<RooDataSet> RooStats::HypoTestResult::fFitInfo

protected

Definition at line 127 of file HypoTestResult.h.

◆ fNullDetailedOutput

RooDataSet* RooStats::HypoTestResult::fNullDetailedOutput

protected

Definition at line 125 of file HypoTestResult.h.

◆ fNullDistr

SamplingDistribution* RooStats::HypoTestResult::fNullDistr

protected

Definition at line 123 of file HypoTestResult.h.

◆ fNullPValue

Double_t RooStats::HypoTestResult::fNullPValue

mutableprotected

Definition at line 117 of file HypoTestResult.h.

◆ fNullPValueError

Double_t RooStats::HypoTestResult::fNullPValueError

mutableprotected

Definition at line 119 of file HypoTestResult.h.

◆ fPValueIsRightTail

Bool_t RooStats::HypoTestResult::fPValueIsRightTail

protected

Definition at line 128 of file HypoTestResult.h.

◆ fTestStatisticData

Double_t RooStats::HypoTestResult::fTestStatisticData

protected

Definition at line 121 of file HypoTestResult.h.

Libraries for RooStats::HypoTestResult:

[legend]

The documentation for this class was generated from the following files:

roofit/roostats/inc/RooStats/HypoTestResult.h
roofit/roostats/src/HypoTestResult.cxx

Conventions used in this class

Public Member Functions

Protected Attributes

Private Member Functions

Additional Inherited Members

Constructor & Destructor Documentation

◆ HypoTestResult() [1/3]

◆ HypoTestResult() [2/3]

◆ HypoTestResult() [3/3]

◆ ~HypoTestResult()

Member Function Documentation

◆ AlternatePValue()

◆ Append()

◆ CLb()

◆ CLbError()

◆ CLs()

◆ CLsError()

◆ CLsplusb()

◆ CLsplusbError()

◆ GetAllTestStatisticsData()

◆ GetAltDetailedOutput()

◆ GetAltDistribution()

◆ GetBackGroundIsAlt()

◆ GetFitInfo()

◆ GetNullDetailedOutput()

◆ GetNullDistribution()

◆ GetPValueIsRightTail()

◆ GetTestStatisticData()

◆ HasTestStatisticData()

◆ NullPValue()

◆ NullPValueError()

◆ operator=()

◆ Print()

◆ SetAllTestStatisticsData()

◆ SetAltDetailedOutput()

◆ SetAltDistribution()

◆ SetBackgroundAsAlt()

◆ SetFitInfo()

◆ SetNullDetailedOutput()

◆ SetNullDistribution()

◆ SetPValueIsRightTail()

◆ SetTestStatisticData()

◆ Significance()

◆ SignificanceError()

◆ UpdatePValue()

Member Data Documentation

◆ fAllTestStatisticsData

◆ fAltDetailedOutput

◆ fAltDistr

◆ fAlternatePValue

◆ fAlternatePValueError

◆ fBackgroundIsAlt

◆ fFitInfo

◆ fNullDetailedOutput

◆ fNullDistr

◆ fNullPValue

◆ fNullPValueError

◆ fPValueIsRightTail

◆ fTestStatisticData