gov.sandia.cognition.statistics

Class AbstractClosedFormUnivariateDistribution<NumberType extends java.lang.Number>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.AbstractDistribution<NumberType>

gov.sandia.cognition.statistics.AbstractClosedFormUnivariateDistribution<NumberType>

Type Parameters:

NumberType - Type of Number that can be sampled from this Distribution.

All Implemented Interfaces:

Vectorizable, ClosedFormDistribution<NumberType>, ClosedFormUnivariateDistribution<NumberType>, Distribution<NumberType>, DistributionWithMean<NumberType>, UnivariateDistribution<NumberType>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Direct Known Subclasses:

AbstractClosedFormIntegerDistribution, AbstractClosedFormSmoothUnivariateDistribution, DeterministicDistribution, KolmogorovDistribution, SnedecorFDistribution, StudentizedRangeDistribution

public abstract class AbstractClosedFormUnivariateDistribution<NumberType extends java.lang.Number>
extends AbstractDistribution<NumberType>
implements ClosedFormUnivariateDistribution<NumberType>

Partial implementation of a ClosedFormUnivariateDistribution.

Since:

3.0

Author:

Kevin R. Dixon

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AbstractClosedFormUnivariateDistribution()

Method Summary

Modifier and Type	Method and Description
AbstractClosedFormUnivariateDistribution<NumberType>	clone() This makes public the clone method on the Object class and removes the exception that it throws.

Methods inherited from class gov.sandia.cognition.statistics.AbstractDistribution

sample, sample

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.statistics.ClosedFormUnivariateDistribution

getCDF

Methods inherited from interface gov.sandia.cognition.math.matrix.Vectorizable

convertFromVector, convertToVector

Methods inherited from interface gov.sandia.cognition.statistics.UnivariateDistribution

getMaxSupport, getMeanAsDouble, getMinSupport, getVariance

Methods inherited from interface gov.sandia.cognition.statistics.DistributionWithMean

getMean

Methods inherited from interface gov.sandia.cognition.statistics.Distribution

sample, sample, sampleInto

Constructor Detail

AbstractClosedFormUnivariateDistribution

public AbstractClosedFormUnivariateDistribution()

Method Detail

clone

public AbstractClosedFormUnivariateDistribution<NumberType> clone()

Description copied from class: AbstractCloneableSerializable

This makes public the clone method on the Object class and removes the exception that it throws. Its default behavior is to automatically create a clone of the exact type of object that the clone is called on and to copy all primitives but to keep all references, which means it is a shallow copy. Extensions of this class may want to override this method (but call super.clone() to implement a "smart copy". That is, to target the most common use case for creating a copy of the object. Because of the default behavior being a shallow copy, extending classes only need to handle fields that need to have a deeper copy (or those that need to be reset). Some of the methods in ObjectUtil may be helpful in implementing a custom clone method. Note: The contract of this method is that you must use super.clone() as the basis for your implementation.

Specified by:

clone in interface Vectorizable

Specified by:

clone in interface CloneableSerializable

Overrides:

clone in class AbstractCloneableSerializable

Returns:

A clone of this object.