Class PoissonPar

java.lang.Object

random.AbstractParameter

random.PoissonPar

All Implemented Interfaces:

AutoCheck, Parameter

public class PoissonPar
extends AbstractParameter
implements Parameter

This is the parameter that should be passed to the Poisson distribution.

Author:

Leran Chen - 01/09/2021

Constructor Summary

Constructors

Constructor	Description
PoissonPar(double lambda)	It creates a new Poisson parameter with the mean provided by the user.
PoissonPar(Double wmean)

Method Summary

Modifier and Type	Method	Description
boolean	check()	It controls if the parameter is correct or not.
double	getLambda()	It returns the value of the parameter lambda of the Poisson distribution.
void	setLambda(double lambda)	It allows the user to modify the value of the parameter lambda of the Poisson distribution and verify if the value is correct that is if it is greater than zero.
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

It creates a new Poisson parameter with the mean provided by the user.

Parameters:

lambda - double containing the parameter lambda.

Throws:

IncorrectDistributionParameterException - if the value provided is not greater than zero.

PoissonPar

public PoissonPar(Double wmean)
           throws IncorrectDistributionParameterException

Throws:

IncorrectDistributionParameterException

Method Details

check

public boolean check()

It controls if the parameter is correct or not. For the Poisson distribution, the parameter is correct if the lambda is greater than zero.

Specified by:

check in interface AutoCheck

Specified by:

check in interface Parameter

Overrides:

check in class AbstractParameter

Returns:

boolean indicating if the parameter is correct or not.

getLambda

public double getLambda()

It returns the value of the parameter lambda of the Poisson distribution.

Returns:

double with lambda.

setLambda

public void setLambda(double lambda)
               throws IncorrectDistributionParameterException

It allows the user to modify the value of the parameter lambda of the Poisson distribution and verify if the value is correct that is if it is greater than zero.

Parameters:

lambda - double indicating the new value of the parameter lambda.

Throws:

IncorrectDistributionParameterException - if the provided value is not greater than zero.

setMean

public void setMean(double value)
             throws IncorrectDistributionParameterException

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

Overrides:

setMean in class AbstractParameter

Parameters:

value - New mean value for this distribution.

Throws:

IncorrectDistributionParameterException - if mean value is invalid for this distribution.