com.mockturtlesolutions.snifflib.stats

Class PoissonDistribution

java.lang.Object

com.mockturtlesolutions.snifflib.stats.ProbabilityDensity

com.mockturtlesolutions.snifflib.stats.PoissonDistribution

All Implemented Interfaces:

NamedParameters, OptimizableScalar, CDF, InvCDF

public class PoissonDistribution
extends ProbabilityDensity

Field Summary

Fields inherited from class com.mockturtlesolutions.snifflib.stats.ProbabilityDensity

GET_CDF, GET_ICDF, GET_PDF, rand

Constructor Summary

Constructors

Constructor and Description
PoissonDistribution()
PoissonDistribution(DblMatrix N, DblMatrix p)

Method Summary

Methods

Modifier and Type	Method and Description
DblMatrix	cdf(DblMatrix X)
DblMatrix	criticalValue(DblMatrix cdfval)
DblMatrix	hasSupport(DblMatrix X) Returns 1 if the density has the input value in its support set (domain) and 0 otherwise.
DblMatrix	mean() Returns the expected value of the distribution for the currently configured parameters.
DblMatrix	median() Returns the median of the distribution for the currently configured parameters.
DblMatrix	mode() Returns the mode of the distribution for the currently configured parameters.
DblMatrix	pdf(DblMatrix X)
DblMatrix	random(int nn) Return N random draws from this distribution.
void	setLambda(DblMatrix m)
void	setLambda(double m)
void	setLambda(int m)
DblMatrix	variance() Returns the variance of the distribution for the currently configured parameters.

Methods inherited from class com.mockturtlesolutions.snifflib.stats.ProbabilityDensity

assumeProbability, getAssumedProbability, getName, getParam, getParams, getValueAt, getValueToGet, getValueToMinimize, getVariableValue, hasParameter, parameterSet, replaceParams, setName, setParam, setValueToGet, setVariableValue

Methods inherited from class java.lang.Object

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

Constructor Detail

PoissonDistribution

public PoissonDistribution()

PoissonDistribution

public PoissonDistribution(DblMatrix N,
                   DblMatrix p)

Method Detail

mean

public DblMatrix mean()

Returns the expected value of the distribution for the currently configured parameters.

mode

public DblMatrix mode()

Returns the mode of the distribution for the currently configured parameters.

median

public DblMatrix median()

Returns the median of the distribution for the currently configured parameters. This method returns an approximate value for the median.

variance

public DblMatrix variance()

Returns the variance of the distribution for the currently configured parameters.

setLambda

public void setLambda(DblMatrix m)

setLambda

public void setLambda(double m)

setLambda

public void setLambda(int m)

random

public DblMatrix random(int nn)

Description copied from class: ProbabilityDensity

Return N random draws from this distribution. This default implementation uses the inversion method which may give suboptimal results.

Overrides:

random in class ProbabilityDensity

hasSupport

public DblMatrix hasSupport(DblMatrix X)

Description copied from class: ProbabilityDensity

Returns 1 if the density has the input value in its support set (domain) and 0 otherwise.

Specified by:

hasSupport in class ProbabilityDensity

criticalValue

public DblMatrix criticalValue(DblMatrix cdfval)

Specified by:

criticalValue in interface InvCDF

Specified by:

criticalValue in class ProbabilityDensity

cdf

public DblMatrix cdf(DblMatrix X)

Specified by:

cdf in interface CDF

Specified by:

cdf in class ProbabilityDensity

pdf

public DblMatrix pdf(DblMatrix X)

Specified by:

pdf in class ProbabilityDensity