Package | Description |
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com.imsl.stat |
Statistical methods.
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Modifier and Type | Method and Description |
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void |
StepwiseRegression.compute()
Builds the multiple linear regression models using forward selection,
backward selection, or stepwise selection.
|
ANOVA |
StepwiseRegression.getANOVA()
Gets an analysis of variance table and related statistics.
|
StepwiseRegression.CoefficientTTests |
StepwiseRegression.getCoefficientTTests()
Returns the student-t test statistics for the regression
coefficients.
|
double[] |
StepwiseRegression.getCoefficientVIF()
Returns the variance inflation factors for the final model in this
invocation.
|
double[][] |
StepwiseRegression.getCovariancesSwept()
Returns the results after
cov has been swept for the columns
corresponding to the variables in the model. |
double[] |
StepwiseRegression.getHistory()
Returns the stepwise regression history for the independent variables.
|
double |
StepwiseRegression.getIntercept()
Returns the intercept.
|
double[] |
StepwiseRegression.getSwept()
Returns an array containing information indicating whether or not a
particular variable is in the model.
|
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