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Statistics
include
itkGaussianDistribution.h
Go to the documentation of this file.
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/*=========================================================================
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*
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* Copyright Insight Software Consortium
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0.txt
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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*=========================================================================*/
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#ifndef __itkGaussianDistribution_h
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#define __itkGaussianDistribution_h
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#include "
itkProbabilityDistribution.h
"
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namespace
itk
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{
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namespace
Statistics
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{
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class
ITK_EXPORT
GaussianDistribution
:
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public
ProbabilityDistribution
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{
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public
:
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typedef
GaussianDistribution
Self
;
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typedef
ProbabilityDistribution
Superclass
;
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typedef
SmartPointer< Self >
Pointer
;
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typedef
SmartPointer< const Self >
ConstPointer
;
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itkTypeMacro(
GaussianDistribution
,
ProbabilityDistribution
);
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itkNewMacro(
Self
);
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virtual
SizeValueType
GetNumberOfParameters
()
const
{
return
2; }
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virtual
double
EvaluatePDF(
double
x)
const
;
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virtual
double
EvaluatePDF(
double
x,
const
ParametersType &)
const
;
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virtual
double
EvaluatePDF(
double
x,
double
mean,
double
variance)
const
;
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virtual
double
EvaluateCDF(
double
x)
const
;
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virtual
double
EvaluateCDF(
double
x,
const
ParametersType &)
const
;
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virtual
double
EvaluateCDF(
double
x,
double
mean,
double
variance)
const
;
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virtual
double
EvaluateInverseCDF(
double
p)
const
;
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virtual
double
EvaluateInverseCDF(
double
p,
const
ParametersType &)
const
;
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virtual
double
EvaluateInverseCDF(
double
p,
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double
mean,
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double
variance)
const
;
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virtual
void
SetMean(
double
);
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virtual
double
GetMean()
const
;
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virtual
bool
HasMean
()
const
{
return
true
; }
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virtual
void
SetVariance(
double
);
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virtual
double
GetVariance()
const
;
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virtual
bool
HasVariance
()
const
{
return
true
; }
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static
double
PDF(
double
x);
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static
double
PDF(
double
x,
const
ParametersType &);
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static
double
PDF(
double
x,
double
mean,
double
variance);
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static
double
CDF(
double
x);
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static
double
CDF(
double
x,
const
ParametersType &);
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static
double
CDF(
double
x,
double
mean,
double
variance);
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static
double
InverseCDF(
double
p);
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static
double
InverseCDF(
double
p,
const
ParametersType &);
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static
double
InverseCDF(
double
p,
double
mean,
double
variance);
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protected
:
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GaussianDistribution
(
void
);
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virtual
~GaussianDistribution
(
void
) {}
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void
PrintSelf(std::ostream & os,
Indent
indent)
const
;
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private
:
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GaussianDistribution
(
const
Self &);
//purposely not implemented
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void
operator=(
const
Self &);
//purposely not implemented
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};
// end of class
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}
// end of namespace Statistics
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}
// end namespace itk
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#endif
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