com.aliasi.test.unit.stats

Class AbstractDiscreteDistributionTest.Distro

java.lang.Object

com.aliasi.stats.AbstractDiscreteDistribution

com.aliasi.test.unit.stats.AbstractDiscreteDistributionTest.Distro

All Implemented Interfaces:

DiscreteDistribution

Enclosing class:

AbstractDiscreteDistributionTest

public static class AbstractDiscreteDistributionTest.Distro
extends AbstractDiscreteDistribution

Constructor Summary

Constructors

Constructor and Description
AbstractDiscreteDistributionTest.Distro()

Method Summary

Methods

Modifier and Type	Method and Description
long	maxOutcome() Returns the maximum outcome with non-zero probability for this distribution.
long	minOutcome() Returns the minimum outcome with non-zero probability for this distribution.
double	probability(long outcome) Returns the probability of the specified outcome in this distribution.

Methods inherited from class com.aliasi.stats.AbstractDiscreteDistribution

cumulativeProbability, cumulativeProbabilityGreater, cumulativeProbabilityLess, entropy, log2Probability, mean, variance

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractDiscreteDistributionTest.Distro

public AbstractDiscreteDistributionTest.Distro()

Method Detail

probability

public double probability(long outcome)

Description copied from class: AbstractDiscreteDistribution

Returns the probability of the specified outcome in this distribution. This abstract method is the only one that needs to be implemented by subclasses, though most will also override the minimum and maximum outcome methods.

Specified by:

probability in interface DiscreteDistribution

Specified by:

probability in class AbstractDiscreteDistribution

Parameters:

outcome - Outcome whose probability is returned.

Returns:

Probability of specified outcome.

minOutcome

public long minOutcome()

Description copied from class: AbstractDiscreteDistribution

Returns the minimum outcome with non-zero probability for this distribution. Implemented to return the constant Long.MIN_VALUE. If possible, concrete subclasses should override this method with a tighter bound.

Specified by:

minOutcome in interface DiscreteDistribution

Overrides:

minOutcome in class AbstractDiscreteDistribution

Returns:

The minimum outcome for this distribution.

maxOutcome

public long maxOutcome()

Description copied from class: AbstractDiscreteDistribution

Returns the maximum outcome with non-zero probability for this distribution. Implemented to return the constant Long.MAX_VALUE. If possible, concrete subclasses should override this method with a tighter bound.

Specified by:

maxOutcome in interface DiscreteDistribution

Overrides:

maxOutcome in class AbstractDiscreteDistribution

Returns:

The maximum outcome for this distribution.