Numerics/Statistics/itkGaussianDistribution.h

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkGaussianDistribution.h,v $
  Language:  C++
  Date:      $Date: 2009-03-04 15:23:48 $
  Version:   $Revision: 1.2 $

  Copyright (c) Insight Software Consortium. All rights reserved.
  See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.

     This software is distributed WITHOUT ANY WARRANTY; without even 
     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
     PURPOSE.  See the above copyright notices for more information.

=========================================================================*/
#ifndef __itkGaussianDistribution_h
#define __itkGaussianDistribution_h

#include "itkProbabilityDistribution.h"

namespace itk { 
namespace Statistics {

class ITK_EXPORT GaussianDistribution :
    public ProbabilityDistribution
{
public:
  typedef GaussianDistribution     Self;
  typedef ProbabilityDistribution  Superclass;
  typedef SmartPointer<Self>       Pointer;
  typedef SmartPointer<const Self> ConstPointer;

  itkTypeMacro(GaussianDistribution, ProbabilityDistribution);

  itkNewMacro(Self);

  virtual unsigned long GetNumberOfParameters() const { return 2; }

  virtual double EvaluatePDF(double x) const;

  virtual double EvaluatePDF(double x, const ParametersType&) const;

  virtual double EvaluatePDF(double x, double mean, double variance) const;

  virtual double EvaluateCDF(double x) const;

  virtual double EvaluateCDF(double x, const ParametersType&) const;

  virtual double EvaluateCDF(double x, double mean, double variance) const;

  virtual double EvaluateInverseCDF(double p) const;

  virtual double EvaluateInverseCDF(double p, const ParametersType&) const;

  virtual double EvaluateInverseCDF(double p,
                                    double mean,
                                    double variance) const;

  virtual void SetMean(double);

  virtual double GetMean() const;

  virtual bool HasMean() const { return true; }

  virtual void SetVariance(double);

  virtual double GetVariance() const;

  virtual bool HasVariance() const { return true; }

  static double PDF(double x);

  static double PDF(double x, const ParametersType&);

  static double PDF(double x, double mean, double variance);

  static double CDF(double x);

  static double CDF(double x, const ParametersType&);

  static double CDF(double x, double mean, double variance);

  static double InverseCDF(double p);

  static double InverseCDF(double p, const ParametersType&);

  static double InverseCDF(double p, double mean, double variance);

protected:
  GaussianDistribution(void);
  virtual ~GaussianDistribution(void) {}

  void PrintSelf(std::ostream& os, Indent indent) const;

private:
  GaussianDistribution(const Self&); //purposely not implemented
  void operator=(const Self&); //purposely not implemented
  
}; // end of class

} // end of namespace Statistics
} // end namespace itk

#endif