- sample
The default implementation generates the sample by calling #sample() in a loop.
- checkedCumulativeProbability
Computes the cumulative probability function and checks for NaNvalues returned.
Throws MathInternalE
- cumulativeProbability
The default implementation uses the identity P(x0 < X
- getNumericalMean
- getNumericalVariance
- getSupportUpperBound
- inverseCumulativeProbability
The default implementation returns * #getSupportLowerBound() for p = 0,
* #getSupportUpperBound()
- probability
- solveInverseCumulativeProbability
This is a utility function used by #inverseCumulativeProbability(double). It
assumes 0 < p < 1 and t
- reseedRandomGenerator