Class PoissonPar

java.lang.Object

random.discrete.PoissonPar

All Implemented Interfaces:

AutoCheck, Parameter

public class PoissonPar
extends Object
implements Parameter

Parameters of the Poisson distribution.

Constructor Summary

Constructors

Constructor	Description
PoissonPar(double lambda)
PoissonPar(Double lambda)

Method Summary

Modifier and Type	Method	Description
boolean	check()	It provide a method for the user to verify if the parameter that he is using is correct.
double	getLambda()
void	setLambda(double lambda)
void	setMean(double value)	Sets mean for a given distribution parameter.

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

PoissonPar

public PoissonPar(double lambda)
           throws IncorrectDistributionParameterException

Throws:

IncorrectDistributionParameterException

PoissonPar

public PoissonPar(Double lambda)
           throws IncorrectDistributionParameterException

Throws:

IncorrectDistributionParameterException

Method Details

getLambda

public double getLambda()

setLambda

public void setLambda(double lambda)
               throws IncorrectDistributionParameterException

Throws:

IncorrectDistributionParameterException

check

public boolean check()

Description copied from interface: Parameter

It provide a method for the user to verify if the parameter that he is using is correct.

Specified by:

check in interface AutoCheck

Specified by:

check in interface Parameter

Returns:

boolean indicating whether or not the parameter is right.

setMean

public void setMean(double value)
             throws IncorrectDistributionParameterException

Description copied from interface: Parameter

Sets mean for a given distribution parameter. This method is required to adjust the mean value of a distribution into Load Dependent Service Time Strategy.
Author: Bertoli Marco

Specified by:

setMean in interface Parameter

Parameters:

value - New mean value for this distribution.

Throws:

IncorrectDistributionParameterException - if mean value is invalid for this distribution.