com.imsl.stat
Interface ProbabilityDistribution

All Superinterfaces:

Distribution, Serializable

All Known Implementing Classes:

GammaDistribution, LogNormalDistribution, NormalDistribution, PoissonDistribution

public interface ProbabilityDistribution
extends Distribution, Serializable

Public interface for the user-supplied distribution function.

Method Summary

double[]	eval(double[] xData, Object[] parameters) Evaluation method for the user-supplied distribution function and parameters.
double	eval(double xData, Object[] parameters) Evaluation method for the user-supplied distribution function and parameters.
Object[]	getParameters() Returns the parameters used to evaluate the distribution

Methods inherited from interface com.imsl.stat.Distribution

eval

Method Detail

eval

double[] eval(double[] xData,
              Object[] parameters)

Evaluation method for the user-supplied distribution function and parameters.

Parameters:

xData - a double array containing the points the distribution function is to evaluate.

parameters - an Object array containing the probability distribution parameters to be used in evaluating xData. See method getParameters to obtain the distribution function parameters.

Returns:

a double array representing the distribution of xData

eval

double eval(double xData,
            Object[] parameters)

Evaluation method for the user-supplied distribution function and parameters.

Parameters:

xData - a double scalar value containing the point the distribution function is to evaluate.

parameters - an Object array containing the probability distribution parameters to be used in evaluating xData. See method getParameters to obtain the distribution function parameters.

Returns:

a double scalar value representing the distribution of xData

getParameters

Object[] getParameters()

Returns the parameters used to evaluate the distribution

Returns:

an Object array representing the parameters used to evaluate the distribution. This Object array can be retrieved after invoking the eval method with the following signature, double[] eval(double[] xData). This Object array can be used as input later with another set of data to the eval methods that require an Object array of distribution parameters as input.