- sample
The default implementation generates the sample by calling #sample() in a loop.
- cumulativeProbability
The default implementation uses the identity P(x0 < X
- inverseCumulativeProbability
The default implementation returns * #getSupportLowerBound() for p = 0,
* #getSupportUpperBound()
- probability
For a random variable X whose values are distributed according to this
distribution, this method ret
- density
- getNumericalMean
- getNumericalVariance
- getSolverAbsoluteAccuracy
Returns the solver absolute accuracy for inverse cumulative computation. You can
override this metho
- getSupportLowerBound
- getSupportUpperBound
- isSupportConnected