All Classes and Interfaces
Class
Description
Base class for probability distributions on the reals.
Base class for integer-valued discrete distributions.
Utilities for argument validation.
Implementation of the beta distribution.
Implementation of the binomial distribution.
Implementation of the Cauchy distribution.
Implementation of the chi-squared distribution.
Interface for distributions on the reals.
Distribution sampling functionality.
Interface for distributions on the integers.
Distribution sampling functionality.
Package private exception class with constants for frequently used messages.
Implementation of the exponential distribution.
Computes extended precision floating-point operations.
Implementation of the F-distribution.
Implementation of the gamma distribution.
Implementation of the geometric distribution.
Implementation of the Gumbel distribution.
Implementation of the hypergeometric distribution.
Implementation of the Laplace distribution.
Implementation of the Lévy distribution.
Implementation of the logistic distribution.
Implementation of the log-normal distribution.
Implementation of the Nakagami distribution.
Implementation of the normal (Gaussian) distribution.
Implementation of the Pareto (Type I) distribution.
Create a RNG that inverts the output from nextDouble() as (1 - nextDouble()).
Implementation of the Pascal distribution.
Implementation of the Poisson distribution.
Utility class used by various distributions to accurately compute their
respective probability mass functions.
Implementation of Student's t-distribution.
Specialisation of the T-distribution used when there are infinite degrees of freedom.
Implementation of Student's T-distribution.
Implementation of the trapezoidal distribution.
Specialisation of the trapezoidal distribution used when the distribution simplifies
to an alternative distribution.
Regular implementation of the trapezoidal distribution.
Specialisation of the trapezoidal distribution used when
b == c
.Specialisation of the trapezoidal distribution used when
a == b
and c == d
.Implementation of the triangular distribution.
Implementation of the truncated normal distribution.
Implementation of the uniform distribution.
Implementation of the uniform discrete distribution.
Implementation of the Weibull distribution.
Implementation of the Zipf distribution.