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Numerics/Statistics/itkGaussianDistribution.h

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00001 /*=========================================================================
00002 
00003   Program:   Insight Segmentation & Registration Toolkit
00004   Module:    $RCSfile: itkGaussianDistribution.h,v $
00005   Language:  C++
00006   Date:      $Date: 2009-03-04 15:23:48 $
00007   Version:   $Revision: 1.2 $
00008 
00009   Copyright (c) Insight Software Consortium. All rights reserved.
00010   See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
00011 
00012      This software is distributed WITHOUT ANY WARRANTY; without even 
00013      the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
00014      PURPOSE.  See the above copyright notices for more information.
00015 
00016 =========================================================================*/
00017 #ifndef __itkGaussianDistribution_h
00018 #define __itkGaussianDistribution_h
00019 
00020 #include "itkProbabilityDistribution.h"
00021 
00022 namespace itk { 
00023 namespace Statistics {
00024 
00053 class ITK_EXPORT GaussianDistribution :
00054     public ProbabilityDistribution
00055 {
00056 public:
00058   typedef GaussianDistribution     Self;
00059   typedef ProbabilityDistribution  Superclass;
00060   typedef SmartPointer<Self>       Pointer;
00061   typedef SmartPointer<const Self> ConstPointer;
00062 
00064   itkTypeMacro(GaussianDistribution, ProbabilityDistribution);
00065 
00067   itkNewMacro(Self);
00068 
00071   virtual unsigned long GetNumberOfParameters() const { return 2; }
00072 
00075   virtual double EvaluatePDF(double x) const;
00076 
00080   virtual double EvaluatePDF(double x, const ParametersType&) const;
00081 
00084   virtual double EvaluatePDF(double x, double mean, double variance) const;
00085 
00088   virtual double EvaluateCDF(double x) const;
00089 
00093   virtual double EvaluateCDF(double x, const ParametersType&) const;
00094 
00097   virtual double EvaluateCDF(double x, double mean, double variance) const;
00098 
00102   virtual double EvaluateInverseCDF(double p) const;
00103 
00108   virtual double EvaluateInverseCDF(double p, const ParametersType&) const;
00109 
00113   virtual double EvaluateInverseCDF(double p,
00114                                     double mean,
00115                                     double variance) const;
00116 
00119   virtual void SetMean(double);
00120 
00123   virtual double GetMean() const;
00124 
00126   virtual bool HasMean() const { return true; }
00127 
00131   virtual void SetVariance(double);
00132 
00135   virtual double GetVariance() const;
00136 
00138   virtual bool HasVariance() const { return true; }
00139 
00144   static double PDF(double x);
00145 
00151   static double PDF(double x, const ParametersType&);
00152 
00157   static double PDF(double x, double mean, double variance);
00158 
00163   static double CDF(double x);
00164 
00170   static double CDF(double x, const ParametersType&);
00171 
00176   static double CDF(double x, double mean, double variance);
00177 
00208   static double InverseCDF(double p);
00210 
00217   static double InverseCDF(double p, const ParametersType&);
00218 
00224   static double InverseCDF(double p, double mean, double variance);
00225 
00226 protected:
00227   GaussianDistribution(void);
00228   virtual ~GaussianDistribution(void) {}
00229 
00230   void PrintSelf(std::ostream& os, Indent indent) const;
00231 
00232 private:
00233   GaussianDistribution(const Self&); //purposely not implemented
00234   void operator=(const Self&); //purposely not implemented
00235   
00236 }; // end of class
00237 
00238 } // end of namespace Statistics
00239 } // end namespace itk
00240 
00241 #endif
00242 

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