itkGaussianDistribution.h

Go to the documentation of this file.

/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#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 SizeValueType 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