drasys.or.prob
Class ContinuousDistribution

java.lang.Object
  |
  +--drasys.or.prob.Distribution
        |
        +--drasys.or.prob.ContinuousDistribution

Direct Known Subclasses:

ChiSquareDistribution, ExponentialDistribution, FDistribution, GammaDistribution, NormalDistribution, StudentsTDistribution, UniformDistribution

public abstract class ContinuousDistribution

extends Distribution

implements ContinuousDistributionI

An abstract class shared by all continuous distributions.

References:

The Art of Computer Programming: Seminumerical Algorithms (Vol 2, 3rd Ed)
    Donald Ervin Knuth; Hardcover
Numerical Recipes in C : The Art of Scientific Computing
    William H. Press, et al / Hardcover / Published 1993
Probability and Statistics
    Morris H. Degroot / Hardcover / Published 1986
Mathematical Statistics With Applications
    Dennis D. Wackerly, et al / Hardcover / Published 1996

See Also:

UniformDistribution, NormalDistribution, ExponentialDistribution, GammaDistribution, UniformDistribution, Serialized Form

Constructor Summary

ContinuousDistribution()

ContinuousDistribution(long seed)

 

Method Summary
double	getRandomScaler()           Returns a random number from the distribution using 'inverseCdf'.
double	inverseCdf(double probability)           Throws 'NotImplemented' if not redefined by a subclass.
double	probability(double x)           Always returns zero.

 

Methods inherited from class drasys.or.prob.Distribution

getRandomMatrix, getRandomNumberGenerator, getRandomVector, setElements, setElements, setRandomNumberGenerator, setSeed

 

Methods inherited from class java.lang.Object

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

 

Constructor Detail

ContinuousDistribution

public ContinuousDistribution()

ContinuousDistribution

public ContinuousDistribution(long seed)

probability

public double probability(double x)

Always returns zero.

getRandomScaler

public double getRandomScaler()

Returns a random number from the distribution using 'inverseCdf'. Distributions can redefine this method to provide a more efficient implementation.

inverseCdf

public double inverseCdf(double probability)

Throws 'NotImplemented' if not redefined by a subclass.

Specified by:

inverseCdf in interface ContinuousDistributionI