gov.sandia.cognition.statistics
Class AbstractRandomVariable<DataType>

java.lang.Object
  gov.sandia.cognition.util.AbstractCloneableSerializable
      gov.sandia.cognition.math.AbstractRing<RandomVariable<DataType>>
          gov.sandia.cognition.statistics.AbstractRandomVariable<DataType>

Type Parameters:

DataType - Type of data that can be sampled from the Distribution.

All Implemented Interfaces:

Ring<RandomVariable<DataType>>, Distribution<DataType>, RandomVariable<DataType>, CloneableSerializable, Randomized, Serializable, Cloneable

Direct Known Subclasses:

UnivariateRandomVariable

public abstract class AbstractRandomVariable<DataType>
extends AbstractRing<RandomVariable<DataType>>
implements RandomVariable<DataType>, Randomized

Partial implementation of RandomVariable.

Since:

3.0

See Also:

Serialized Form

Constructor Summary

AbstractRandomVariable()

Method Summary

DataType

sample(Random random) Draws a single random sample from the distribution.

Methods inherited from class gov.sandia.cognition.math.AbstractRing

clone, dotTimes, isZero, minus, negative, negativeEquals, plus, scale, zero

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.Distribution

sample

Methods inherited from interface gov.sandia.cognition.math.Ring

clone, dotTimes, dotTimesEquals, equals, equals, isZero, isZero, minus, minusEquals, negative, negativeEquals, plus, plusEquals, scale, scaleEquals, zero

Methods inherited from interface gov.sandia.cognition.util.Randomized

getRandom, setRandom

Constructor Detail

AbstractRandomVariable

public AbstractRandomVariable()

Method Detail

sample

public DataType sample(Random random)

Description copied from interface: Distribution

Draws a single random sample from the distribution.

Specified by:

sample in interface Distribution<DataType>

Parameters:

random - Random-number generator to use in order to generate random numbers.

Returns:

Sample drawn according to this distribution.