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Class Summary |
| Bernoulli |
A Bernoulli distribution is defined on a sample space of two events. |
| BoundedRangeGenarator |
This class modifies sequence of numbers. |
| DiscreteProbability |
An abstract class defining an interface for probability distributions
on a discrete space. |
| DoubleObjectGenerator |
Converts a sequence of numbers to a sequence of Double objects. |
| GeneralizedEightyTwenty |
The 80%-20% rule states that 80%
of the programs resources are consumed by
20% of the code. |
| Geometric |
The Geometric distribution deals with Bernoulli like situations: the
sample space is divided into success events and failure events. |
| IntegerObjectGenerator |
Converts a sequence of numbers to a sequence of Integer objects. |
| NoInverseDistribution |
An abstract class handling discrete probability distributions with no inverse
or easly computable inverse. |
| OrderedNumberGenerator |
This class generates a sequence of numbers. |
| Poisson |
The Poisson distrubution addresses the question of how many events
occur in a unit of time or space. |
| ProbabilityDistribution |
An abstract class defining an interface for probability distributions. |
| RandomIntegerGenerator |
|
| ShiftedRangeGenarator |
This class modifies a sequence of numbers. |
| StringGenerator |
Generates a sequence of random strings. |
| Zipf |
The Zipfian distribution models the frequency of the word usage in written
English and the population of U.S. |