Uses of Class
com.imsl.stat.Covariances.NonnegativeWeightException

Packages that use Covariances.NonnegativeWeightException

Package	Description
com.imsl.stat	Statistical methods.

Uses of Covariances.NonnegativeWeightException in com.imsl.stat

Methods in com.imsl.stat that throw Covariances.NonnegativeWeightException

Modifier and Type	Method	Description
final double[][]	Covariances.compute(int matrixType)	Computes the matrix.
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.

Constructors in com.imsl.stat that throw Covariances.NonnegativeWeightException

Modifier	Constructor	Description
	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.