Baseclass

Distribution(parameters, dependencies[, ...])

Baseclass for all probability distributions.

Distribution.pdf(x_data[, decompose, ...])	Probability density function.
Distribution.cdf(x_data)	Cumulative distribution function.
Distribution.ppf(q_data[, max_iterations, ...])	Point percentile function.
Distribution.fwd(x_data)	Forward Rosenblatt transformation.
Distribution.inv(q_data[, max_iterations, ...])	Inverse Rosenblatt transformation.
Distribution.sample([size, rule, ...])	Create pseudo-random generated samples.
Distribution.mom(K[, allow_approx])	Raw statistical moments.
Distribution.ttr(kloc)	Three terms relation's coefficient generator.
Distribution.interpret_as_integer	Flag indicating that return value from the methods sample, and inv should be interpreted as integers instead of floating point.
Distribution.stochastic_dependent	True if distribution contains stochastically dependent components.
Distribution.lower	Lower bound for the distribution.
Distribution.upper	Upper bound for the distribution.