DistributionFactoryLikelihoodResult

class DistributionFactoryLikelihoodResult(*args)

Result from likelihood estimation.

Parameters:

distributionDistribution

Estimated distribution

parameterDistributionDistribution

Distribution of the parameters

logLikelihoodfloat

Optimal log-likelihood value

See also

GeneralizedExtremeValueFactory

Methods

getClassName()	Accessor to the object's name.
getDistribution()	Accessor to the estimated distribution.
getLogLikelihood()	Likelihood value accessor.
getName()	Accessor to the object's name.
getParameterDistribution()	Accessor to the distribution of the parameter.
hasName()	Test if the object is named.
setDistribution(distribution)	Accessor to the estimated distribution.
setLogLikelihood(logLikelihood)	Likelihood value accessor.
setName(name)	Accessor to the object's name.
setParameterDistribution(parameterDistribution)	Accessor to the distribution of the parameter.

__init__(*args)

getClassName()

Accessor to the object’s name.

Returns:

class_namestr

The object class name (object.__class__.__name__).

getDistribution()

Accessor to the estimated distribution.

Returns:

distributionDistribution

The estimated distribution.

getLogLikelihood()

Likelihood value accessor.

Returns:

llhfloat

Log-likelihood value.

getName()

Accessor to the object’s name.

Returns:

namestr

The name of the object.

getParameterDistribution()

Accessor to the distribution of the parameter.

Returns:

parameterDistributionDistribution

The distribution of the parameter.

hasName()

Test if the object is named.

Returns:

hasNamebool

True if the name is not empty.

setDistribution(distribution)

Accessor to the estimated distribution.

Parameters:

distributionDistribution

The estimated distribution.

setLogLikelihood(logLikelihood)

Likelihood value accessor.

Parameters:

llhfloat

Log-likelihood value.

setName(name)

Accessor to the object’s name.

Parameters:

namestr

The name of the object.

setParameterDistribution(parameterDistribution)

Accessor to the distribution of the parameter.

Parameters:

parameterDistributionDistribution

The distribution of the parameter.

Examples using the class

Estimate a GEV on the Venice sea-levels data

Estimate a GEV on the Venice sea-levels data

Estimate a GPD on the Wooster temperature data

Estimate a GPD on the Wooster temperature data

Estimate a GPD on the Dow Jones Index data

Estimate a GPD on the Dow Jones Index data

Estimate a GEV on the Port Pirie sea-levels data

Estimate a GEV on the Port Pirie sea-levels data

Estimate a GPD on the daily rainfall data

Estimate a GPD on the daily rainfall data

Estimate a GEV on race times data

Estimate a GEV on race times data

Estimate a GEV on the Fremantle sea-levels data

Estimate a GEV on the Fremantle sea-levels data