| Interface | Description |
|---|---|
| BoundedDistribution | |
| GaussianErrorTermList.IndexableErrorTerm |
This interface ensures the instance can return an index that will serve as distance for
the calculation of the variance-covariance matrix.
|
| Class | Description |
|---|---|
| BasicBound |
The basic class for bounded distributions.
|
| CenteredGaussianDistribution |
The CenteredGaussianDistribution class is designed for dealing with univariate or multivariate
error terms in linear and non linear model.
|
| ChiSquaredDistribution |
The ChiSquareDistribution class represents a univariate Chi Square distribution with a given degrees of freedom.
|
| EmpiricalDistribution |
The EmpiricalDistribution class handles empirical distribution from observations
or realizations.
|
| GaussianDistribution |
This class implements the Gaussian probability density function.
|
| GaussianErrorTerm | |
| GaussianErrorTermList | |
| StandardGaussianDistribution | |
| StudentTDistribution |
This class implements the standard Student's t distribution.
|
| TruncatedGaussianDistribution | |
| UniformDistribution | |
| UnknownDistribution |
The UnknownDistribution class is a basic distribution for which the first two moments are known (and can be set) but the
underlying distribution remains unknown.
|