DistributionFactory¶

class
DistributionFactory
(*args)¶ Base class for probability distribution factories.
Notes
This class generally describes the factory mechanism of each OpenTURNS distribution. Refer to Parametric Estimation for information on the specific estimators used for each distribution.
Methods
Accessor to the list of continuous multivariate factories.
Accessor to the list of continuous univariate factories.
Accessor to the list of discrete multivariate factories.
Accessor to the list of discrete univariate factories.
Accessor to the list of multivariate factories.
Accessor to the list of univariate factories.
build
(*args)Build the distribution.
buildEstimator
(*args)Build the distribution and the parameter distribution.
Accessor to the object’s name.
getId
()Accessor to the object’s id.
Accessor to the underlying implementation.
getName
()Accessor to the object’s name.
setName
(name)Accessor to the object’s name.

__init__
(*args)¶ Initialize self. See help(type(self)) for accurate signature.

static
GetContinuousMultiVariateFactories
()¶ Accessor to the list of continuous multivariate factories.
 Returns
 listFactoriescollection of
DistributionFactory
All the valid continuous multivariate factories.
 listFactoriescollection of

static
GetContinuousUniVariateFactories
()¶ Accessor to the list of continuous univariate factories.
 Returns
 listFactoriescollection of
DistributionFactory
All the valid continuous univariate factories.
 listFactoriescollection of

static
GetDiscreteMultiVariateFactories
()¶ Accessor to the list of discrete multivariate factories.
 Returns
 listFactoriescollection of
DistributionFactory
All the valid discrete multivariate factories.
 listFactoriescollection of

static
GetDiscreteUniVariateFactories
()¶ Accessor to the list of discrete univariate factories.
 Returns
 listFactoriescollection of
DistributionFactory
All the valid discrete univariate factories.
 listFactoriescollection of

static
GetMultiVariateFactories
()¶ Accessor to the list of multivariate factories.
 Returns
 listFactoriescollection of
DistributionFactory
All the valid multivariate factories.
 listFactoriescollection of

static
GetUniVariateFactories
()¶ Accessor to the list of univariate factories.
 Returns
 listFactoriescollection of
DistributionFactory
All the valid univariate factories.
 listFactoriescollection of

build
(*args)¶ Build the distribution.
Available usages:
build(sample)
build(param)
 Parameters
 sample2d sequence of float
Sample from which the distribution parameters are estimated.
 paramCollection of
PointWithDescription
A vector of parameters of the distribution.
 Returns
 dist
Distribution
The built distribution.
 dist

buildEstimator
(*args)¶ Build the distribution and the parameter distribution.
 Parameters
 sample2d sequence of float
Sample from which the distribution parameters are estimated.
 parameters
DistributionParameters
Optional, the parametrization.
 Returns
 resDist
DistributionFactoryResult
The results.
 resDist
Notes
According to the way the native parameters of the distribution are estimated, the parameters distribution differs:
Moments method: the asymptotic parameters distribution is normal and estimated by Bootstrap on the initial data;
Maximum likelihood method with a regular model: the asymptotic parameters distribution is normal and its covariance matrix is the inverse Fisher information matrix;
Other methods: the asymptotic parameters distribution is estimated by Bootstrap on the initial data and kernel fitting (see
KernelSmoothing
).
If another set of parameters is specified, the native parameters distribution is first estimated and the new distribution is determined from it:
if the native parameters distribution is normal and the transformation regular at the estimated parameters values: the asymptotic parameters distribution is normal and its covariance matrix determined from the inverse Fisher information matrix of the native parameters and the transformation;
in the other cases, the asymptotic parameters distribution is estimated by Bootstrap on the initial data and kernel fitting.

getClassName
()¶ Accessor to the object’s name.
 Returns
 class_namestr
The object class name (object.__class__.__name__).

getId
()¶ Accessor to the object’s id.
 Returns
 idint
Internal unique identifier.

getImplementation
()¶ Accessor to the underlying implementation.
 Returns
 implImplementation
The implementation class.

getName
()¶ Accessor to the object’s name.
 Returns
 namestr
The name of the object.

setName
(name)¶ Accessor to the object’s name.
 Parameters
 namestr
The name of the object.
