|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use MultipleLinearRegressionEstimator | |
---|---|
org.codehaus.jet.regression.estimators |
Uses of MultipleLinearRegressionEstimator in org.codehaus.jet.regression.estimators |
---|
Classes in org.codehaus.jet.regression.estimators that implement MultipleLinearRegressionEstimator | |
---|---|
class |
AbstractMultipleLinearRegressionEstimator
Abstract base class for implementations of MultipleLinearRegression |
class |
GLSMultipleLinearRegressionEstimator
The GLS implementation of the multiple linear regression GLS assumes a general covariance matrix Omega of the error |
class |
OLSMultipleLinearRegressionEstimator
The OLS implementation of the multiple linear regression OLS assumes the covariance matrix of the error to be diagonal and with equal variance. |
Methods in org.codehaus.jet.regression.estimators that return MultipleLinearRegressionEstimator | |
---|---|
protected static MultipleLinearRegressionEstimator |
AbstractInformationCriterionEstimator.createDefaultRegressionEstimator()
|
Constructors in org.codehaus.jet.regression.estimators with parameters of type MultipleLinearRegressionEstimator | |
---|---|
AbstractInformationCriterionEstimator(MultipleLinearRegressionEstimator regression)
Creates an AbstractInformationCriterionEstimator with a given regression estimator |
|
AkaikeInformationCriterionEstimator(MultipleLinearRegressionEstimator regression)
Creates an AkaikeInformationCriterionEstimator with given regression estimator |
|
HannanQuinnInformationCriterionEstimator(MultipleLinearRegressionEstimator regression)
Creates an HannanQuinnInformationCriterionEstimator with given regression estimator |
|
SchwarzInformationCriterionEstimator(MultipleLinearRegressionEstimator regression)
Creates an SchwarzInformationCriterionEstimator with given regression estimator |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |