sdsu.algorithms.data
Class DiscreteProbability

java.lang.Object
  |
  +--sdsu.algorithms.data.ProbabilityDistribution
        |
        +--sdsu.algorithms.data.DiscreteProbability

Direct Known Subclasses:

Bernoulli, NoInverseDistribution, Poisson

public abstract class DiscreteProbability

extends ProbabilityDistribution

An abstract class defining an interface for probability distributions on a discrete space. This class and many of its subclasses are adapted from Smalltalk-80: The language and Its Implementation, Goldberg & Robson, Addison-Wesley, 1983, chapter 21, pages 417-438.

Version:

1.0 10 June 1997

Author:

Roger Whitney (whitney@cs.sdsu.edu)

Constructor Summary

DiscreteProbability()

Method Summary

java.util.Vector

distribution(java.util.Vector sampleSpaceCollection) Computes the density of each item in the vector.

Methods inherited from class sdsu.algorithms.data.ProbabilityDistribution

density, density, mean, nextElement, variance

Methods inherited from class java.lang.Object

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

Constructor Detail

DiscreteProbability

public DiscreteProbability()

Method Detail

distribution

public java.util.Vector distribution(java.util.Vector sampleSpaceCollection)

Computes the density of each item in the vector. Returns a vector of the densities.

Overrides:

distribution in class ProbabilityDistribution