| Interface | Description |
|---|---|
| Distribution<C extends Comparable<? super C>> |
Defines the domain, PDF and CDF of a probability
distribution.
|
| Class | Description |
|---|---|
| Histogram<C> |
To create an Histogram Accumulator you have to define the class
border which define the histogram classes.
|
| LinearDistribution<N extends Number & Comparable<? super N>> |
This distribution has the following cdf.
|
| Mean<N extends Number> |
Calculate the Arithmetic mean from a finite sample of N
observations.
|
| NormalDistribution<N extends Number & Comparable<? super N>> |
Normal (Gaussian) distribution.
|
| Quantile<N extends Number> |
Implementation of the quantile estimation algorithm published by
Raj JAIN and Imrich CHLAMTAC:
The P2 Algorithm for Dynamic Calculation of Quantiles and
Histograms Without Storing Observations
[Communications of the ACM; October 1985, Volume 28, Number 10] Note that this implementation is not synchronized. If multiple threads access this object concurrently, and at least one of the threads modifies it, it must be synchronized externally. |
| UniformDistribution<N extends Number & Comparable<? super N>> |
Uniform distribution class.
|
| Variance<N extends Number> |
Calculate the variance from a finite sample of N observations.
|
© 2007-2013 Franz Wilhelmstötter (2013-12-18 20:17)