itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram > Class Template Reference

base class for classes calculates different types of goodness-of-fit statistics More...

#include <itkGoodnessOfFitFunctionBase.h>

Inheritance diagram for itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >:

[legend]Collaboration diagram for itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >:

[legend]List of all members.

Public Types
typedef GoodnessOfFitFunctionBase	Self
typedef SampleAlgorithmBase< TInputHistogram >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputHistogram::MeasurementType	MeasurementType
typedef TInputHistogram::MeasurementVectorType	MeasurementVectorType
typedef TInputHistogram	InputHistogramType
typedef double	OutputType
Public Member Functions
virtual const char *	GetNameOfClass () const
	itkStaticConstMacro (MeasurementVectorSize, unsigned int, TInputHistogram::MeasurementVectorSize)
void	SetObservedHistogram (InputHistogramType *histogram)
InputHistogramType *	GetObservedHistogram ()
void	SetExpectedHistogram (InputHistogramType *histogram)
InputHistogramType *	GetExpectedHistogram ()
virtual bool	GetUseExpectedHistogram ()
void	SetTotalObservedScale (double *scale)
OutputType &	GetOutput ()
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	GoodnessOfFitFunctionBase ()
virtual	~GoodnessOfFitFunctionBase ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	SetUseExpectedHistogram (bool _arg)
virtual void	GenerateData ()
virtual const float &	GetEpsilon ()
virtual const float &	GetLogEpsilon ()

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Detailed Description

template<class TInputHistogram>
class itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >

base class for classes calculates different types of goodness-of-fit statistics

Goodness-of-fit function quantifies discrepancy between the given model with the observation by summarizing the difference between the expected frequency and the observed frequency.

See also:

GoodnessOfFitMixtureModelCostFunction, GoodnessOfFitComponentBase

Definition at line 39 of file itkGoodnessOfFitFunctionBase.h.

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Member Typedef Documentation

template<class TInputHistogram> typedef SmartPointer< const Self > itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::ConstPointer

Reimplemented from itk::Statistics::SampleAlgorithmBase< TInputHistogram >. Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >. Definition at line 47 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> typedef TInputHistogram itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::InputHistogramType

Definition at line 61 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> typedef TInputHistogram::MeasurementType itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::MeasurementType

Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >. Definition at line 59 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> typedef TInputHistogram::MeasurementVectorType itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::MeasurementVectorType

Reimplemented from itk::Statistics::SampleAlgorithmBase< TInputHistogram >. Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >. Definition at line 60 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> typedef double itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::OutputType

Definition at line 91 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> typedef SmartPointer< Self > itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::Pointer

Reimplemented from itk::Statistics::SampleAlgorithmBase< TInputHistogram >. Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >. Definition at line 46 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> typedef GoodnessOfFitFunctionBase itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::Self

Standard class typedefs Reimplemented from itk::Statistics::SampleAlgorithmBase< TInputHistogram >. Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >. Definition at line 44 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> typedef SampleAlgorithmBase< TInputHistogram > itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::Superclass

Reimplemented from itk::Statistics::SampleAlgorithmBase< TInputHistogram >. Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >. Definition at line 45 of file itkGoodnessOfFitFunctionBase.h.

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Constructor & Destructor Documentation

template<class TInputHistogram> itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::GoodnessOfFitFunctionBase (   )  [protected]

template<class TInputHistogram> virtual itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::~GoodnessOfFitFunctionBase (   )  [inline, protected, virtual]

Definition at line 98 of file itkGoodnessOfFitFunctionBase.h.

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Member Function Documentation

template<class TInputHistogram> virtual void itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::GenerateData (  void   )  [inline, protected, virtual]

Calculates the mean and save it Reimplemented from itk::Statistics::SampleAlgorithmBase< TInputHistogram >. Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >. Definition at line 103 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> virtual const float& itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::GetEpsilon (   )  [protected, virtual]

template<class TInputHistogram> InputHistogramType* itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::GetExpectedHistogram (   )  [inline]

Gets the expected histogram input Definition at line 74 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> virtual const float& itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::GetLogEpsilon (   )  [protected, virtual]

template<class TInputHistogram> virtual const char* itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::GetNameOfClass (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::Statistics::SampleAlgorithmBase< TInputHistogram >. Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >.

template<class TInputHistogram> InputHistogramType* itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::GetObservedHistogram (   )  [inline]

Gets the observed histogram Definition at line 67 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> OutputType& itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::GetOutput (  void   )  [inline]

Definition at line 93 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> virtual bool itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::GetUseExpectedHistogram (   )  [virtual]

Sets the flag that tells if a subclass needs the expected histogram for goodness-of-fit statistics calculation. This flag should be set only by a subclass

template<class TInputHistogram> itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::itkStaticConstMacro (  MeasurementVectorSize  , unsigned  int, TInputHistogram::MeasurementVectorSize  )

typedefs from Superclass Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >.

template<class TInputHistogram> Pointer itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::New (   )  [static]

Method for creation through the object factory. Reimplemented from itk::Statistics::SampleAlgorithmBase< TInputHistogram >. Reimplemented in itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >.

template<class TInputHistogram> void itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::Statistics::SampleAlgorithmBase< TInputHistogram >.

template<class TInputHistogram> void itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetExpectedHistogram (  InputHistogramType *  histogram  )

Sets the expected histogram input

template<class TInputHistogram> void itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetObservedHistogram (  InputHistogramType *  histogram  )

Sets the observed histogram input

template<class TInputHistogram> void itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale (  double *  scale  )  [inline]

Definition at line 82 of file itkGoodnessOfFitFunctionBase.h.

template<class TInputHistogram> virtual void itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetUseExpectedHistogram (  bool  _arg  )  [protected, virtual]

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

• itkGoodnessOfFitFunctionBase.h

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