| AddObserver | itk::Object | |
| BreakOnError() | itk::LightObject | [static] |
| CDF(double x) | itk::Statistics::GaussianDistribution | [static] |
| CDF(double x, const ParametersType &) | itk::Statistics::GaussianDistribution | [static] |
| CDF(double x, double mean, double variance) | itk::Statistics::GaussianDistribution | [static] |
| ConstPointer typedef | itk::Statistics::GaussianDistribution | |
| CreateAnother() const | itk::Object | [virtual] |
| debug | itk::Object | |
| DebugOff() const | itk::Object | [virtual] |
| DebugOn() const | itk::Object | [virtual] |
| Delete() | itk::LightObject | [virtual] |
| EvaluateCDF(double x) const | itk::Statistics::GaussianDistribution | [virtual] |
| EvaluateCDF(double x, const ParametersType &) const | itk::Statistics::GaussianDistribution | [virtual] |
| EvaluateCDF(double x, double mean, double variance) const | itk::Statistics::GaussianDistribution | [virtual] |
| EvaluateInverseCDF(double p) const | itk::Statistics::GaussianDistribution | [virtual] |
| EvaluateInverseCDF(double p, const ParametersType &) const | itk::Statistics::GaussianDistribution | [virtual] |
| EvaluateInverseCDF(double p, double mean, double variance) const | itk::Statistics::GaussianDistribution | [virtual] |
| EvaluatePDF(double x) const | itk::Statistics::GaussianDistribution | [virtual] |
| EvaluatePDF(double x, const ParametersType &) const | itk::Statistics::GaussianDistribution | [virtual] |
| EvaluatePDF(double x, double mean, double variance) const | itk::Statistics::GaussianDistribution | [virtual] |
| GetCommand(unsigned long tag) | itk::Object | |
| GetDebug() const | itk::Object | |
| GetGlobalWarningDisplay() | itk::Object | [static] |
| GetMean() const | itk::Statistics::GaussianDistribution | [virtual] |
| GetMetaDataDictionary(void) | itk::Object | |
| GetMetaDataDictionary(void) const | itk::Object | |
| GetMTime() const | itk::Object | [virtual] |
| GetNameOfClass() const | itk::Statistics::GaussianDistribution | [virtual] |
| GetNumberOfParameters() const | itk::Statistics::GaussianDistribution | [inline, virtual] |
| GetParameters() | itk::Statistics::ProbabilityDistribution | [virtual] |
| GetReferenceCount() const | itk::LightObject | [inline, virtual] |
| GetVariance() const | itk::Statistics::GaussianDistribution | [virtual] |
| GlobalWarningDisplayOff() | itk::Object | [inline, static] |
| GlobalWarningDisplayOn() | itk::Object | [inline, static] |
| Graphs | itk::Statistics::GaussianDistribution | |
| HasMean() const | itk::Statistics::GaussianDistribution | [inline, virtual] |
| HasObserver(const EventObject &event) const | itk::Object | |
| HasVariance() const | itk::Statistics::GaussianDistribution | [inline, virtual] |
| InvokeEvent(const EventObject &) | itk::Object | |
| InvokeEvent(const EventObject &) const | itk::Object | |
| Let | itk::Statistics::GaussianDistribution | |
| LightObject() | itk::LightObject | [inline, protected] |
| m_Parameters | itk::Statistics::ProbabilityDistribution | [protected] |
| m_ReferenceCount | itk::LightObject | [mutable, protected] |
| m_ReferenceCountLock | itk::LightObject | [mutable, protected] |
| Modified() const | itk::Object | [virtual] |
| New() | itk::Statistics::GaussianDistribution | [static] |
| Object() | itk::Object | [protected] |
| parameters | itk::Statistics::ProbabilityDistribution | |
| ParametersType typedef | itk::Statistics::ProbabilityDistribution | |
| PDF(double x) | itk::Statistics::GaussianDistribution | [static] |
| PDF(double x, const ParametersType &) | itk::Statistics::GaussianDistribution | [static] |
| PDF(double x, double mean, double variance) | itk::Statistics::GaussianDistribution | [static] |
| Pointer typedef | itk::Statistics::GaussianDistribution | |
| Print(std::ostream &os, Indent indent=0) const | itk::LightObject | |
| PrintHeader | itk::LightObject | [protected] |
| PrintObservers(std::ostream &os, Indent indent) const | itk::Object | [protected] |
| PrintSelf(std::ostream &os, Indent indent) const | itk::Statistics::ProbabilityDistribution | [inline, protected, virtual] |
| PrintTrailer(std::ostream &os, Indent indent) const | itk::LightObject | [protected, virtual] |
| ProbabilityDistribution(void) | itk::Statistics::ProbabilityDistribution | [inline, protected] |
| Q(x) | itk::Statistics::GaussianDistribution | |
| Q(x) | itk::Statistics::GaussianDistribution | |
| Register() const | itk::Object | [virtual] |
| RemoveAllObservers() | itk::Object | |
| RemoveObserver(unsigned long tag) | itk::Object | |
| Self typedef | itk::Statistics::GaussianDistribution | |
| SetDebug(bool debugFlag) const | itk::Object | |
| SetDegreesOfFreedom() | itk::Statistics::ProbabilityDistribution | |
| SetGlobalWarningDisplay(bool flag) | itk::Object | [static] |
| SetMean(double) | itk::Statistics::GaussianDistribution | [virtual] |
| SetMetaDataDictionary(const MetaDataDictionary &rhs) | itk::Object | |
| SetParameters(const ParametersType ¶ms) | itk::Statistics::ProbabilityDistribution | [inline, virtual] |
| SetReferenceCount(int) | itk::Object | [virtual] |
| SetVariance(double) | itk::Statistics::GaussianDistribution | [virtual] |
| standardized(mean zero, unit variance) Gaussian.*The static method provides optimized access without requiring an *instance of the class.Parameter p must be between 0.0 and 1.0.**THis implementation was provided by Robert W.Cox from the *Biophysics Research Institute at the Medical College of *Wisconsin.This function is based off of a rational polynomial *approximation to the inverse Gaussian CDF which can be found in *M.Abramowitz and I.A.Stegun.Handbook of Mathematical Functions *with Formulas | itk::Statistics::GaussianDistribution | |
| Superclass typedef | itk::Statistics::GaussianDistribution | |
| UnRegister() const | itk::Object | [virtual] |
| value | itk::Statistics::GaussianDistribution | |
| ~LightObject() | itk::LightObject | [protected, virtual] |
| ~Object() | itk::Object | [protected, virtual] |
| ~ProbabilityDistribution(void) | itk::Statistics::ProbabilityDistribution | [inline, protected, virtual] |
