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

calculates loglikelihood ratio statistics. More...

#include <itkLogLikelihoodGoodnessOfFitFunction.h>

Inheritance diagram for itk::Statistics::LogLikelihoodGoodnessOfFitFunction:

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Collaboration diagram for itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >:

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List of all members.

Public Types

typedef LogLikelihoodGoodnessOfFitFunction Self
typedef GoodnessOfFitFunctionBase<
TInputHistogram > 
Superclass
typedef SmartPointer< SelfPointer
typedef SmartPointer< const
Self
ConstPointer
typedef TInputHistogram::MeasurementType MeasurementType
typedef TInputHistogram::MeasurementVectorType MeasurementVectorType

Public Methods

virtual const char * GetClassName () const
 itkStaticConstMacro (MeasurementVectorSize, unsigned int, TInputHistogram::MeasurementVectorSize)

Static Public Methods

Pointer New ()

Protected Methods

 LogLikelihoodGoodnessOfFitFunction ()
virtual ~LogLikelihoodGoodnessOfFitFunction ()
virtual void GenerateData ()

Detailed Description

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

calculates loglikelihood ratio statistics.

This function needs an expected histogram in addition to the observed histogram.

The statistics is

where is the observed frequency of the th bin, and is the expected frequency.

See also:
GoodnessOfFitFunctionBase, GoodnessOfFitMixtureModelCostFunction

Definition at line 42 of file itkLogLikelihoodGoodnessOfFitFunction.h.


Member Typedef Documentation

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

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.

Definition at line 50 of file itkLogLikelihoodGoodnessOfFitFunction.h.

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

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.

Definition at line 62 of file itkLogLikelihoodGoodnessOfFitFunction.h.

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

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.

Definition at line 63 of file itkLogLikelihoodGoodnessOfFitFunction.h.

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

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.

Definition at line 49 of file itkLogLikelihoodGoodnessOfFitFunction.h.

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

Standard class typedefs

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.

Definition at line 47 of file itkLogLikelihoodGoodnessOfFitFunction.h.

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

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.

Definition at line 48 of file itkLogLikelihoodGoodnessOfFitFunction.h.


Constructor & Destructor Documentation

template<class TInputHistogram>
itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >::LogLikelihoodGoodnessOfFitFunction   [protected]
 

template<class TInputHistogram>
virtual itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >::~LogLikelihoodGoodnessOfFitFunction   [inline, protected, virtual]
 

Definition at line 67 of file itkLogLikelihoodGoodnessOfFitFunction.h.


Member Function Documentation

template<class TInputHistogram>
virtual void itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >::GenerateData   [protected, virtual]
 

calculates the loglikelihood ratio statistics

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.

template<class TInputHistogram>
virtual const char* itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >::GetClassName   const [virtual]
 

Run-time type information (and related methods).

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.

template<class TInputHistogram>
itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >::itkStaticConstMacro MeasurementVectorSize   ,
unsigned    int,
TInputHistogram::MeasurementVectorSize   
 

typedefs from InputHistogram

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.

template<class TInputHistogram>
Pointer itk::Statistics::LogLikelihoodGoodnessOfFitFunction< TInputHistogram >::New   [static]
 

Method for creation through the object factory.

Reimplemented from itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >.


The documentation for this class was generated from the following file:
Generated at Fri May 21 01:53:23 2004 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000