Package | Description |
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com.imsl.stat |
Statistical methods.
|
Modifier and Type | Method and Description |
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void |
SelectionRegression.compute(double[][] x,
double[] y)
Computes the best multiple linear regression models.
|
void |
SelectionRegression.compute(double[][] x,
double[] y,
double[] weights)
Computes the best weighted multiple linear regression models.
|
void |
SelectionRegression.compute(double[][] x,
double[] y,
double[] weights,
double[] frequencies)
Computes the best weighted multiple linear regression models using
frequencies for each observation.
|
double[][] |
Covariances.compute(int matrixType)
Computes the matrix.
|
Constructor and Description |
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StepwiseRegression(double[][] x,
double[] y)
Creates a new instance of
StepwiseRegression . |
StepwiseRegression(double[][] x,
double[] y,
double[] weights)
Creates a new instance of weighted
StepwiseRegression . |
StepwiseRegression(double[][] x,
double[] y,
double[] weights,
double[] frequencies)
Creates a new instance of weighted
StepwiseRegression using
observation frequencies. |
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