chaospy.Trunc

class chaospy.Trunc(dist, lower=None, upper=None)

Truncation.

__init__(dist, lower=None, upper=None)

Constructor.

Args:

dist (Distribution):

Distribution to be truncated.

lower (Distribution, numpy.ndarray):

Lower truncation bound.

upper (Distribution, numpy.ndarray):

Upper truncation bound.

Methods

pdf(x_data[, decompose, allow_approx, step_size])	Probability density function.
cdf(x_data)	Cumulative distribution function.
fwd(x_data)	Forward Rosenblatt transformation.
inv(q_data[, max_iterations, tollerance])	Inverse Rosenblatt transformation.
sample([size, rule, antithetic, ...])	Create pseudo-random generated samples.
mom(K[, allow_approx])	Raw statistical moments.
ttr(kloc)	Three terms relation's coefficient generator.

Attributes

interpret_as_integer	Flag indicating that return value from the methods sample, and inv should be interpreted as integers instead of floating point.
lower	Lower bound for the distribution.
stochastic_dependent	True if distribution contains stochastically dependent components.
upper	Upper bound for the distribution.