TruncatedDistribution[{x_min, x_max}, dist] represents the distribution obtained by truncating the values of dist to lie between x_min and ...

Bounded domain distributions naturally come up when random variables should only vary in a finite interval. Some distributions, like beta, occur in a variety of ways, ...

Derived distributions are modifications to existing distributions. There is a variety of ways in which you can arrive at modified distributions, including functions of random ...

The fundamental type of distribution in reliability analysis is a lifetime distribution. This models the lifetime of a component or a system. Many lifetime distributions are ...

Censoring[t, c] represents a censored event time t with censoring c.Censoring[{t_1, t_2, ...}, c] represents a vector of censored event times t_i with censoring ...

Probability and statistics are used to model uncertainty from a variety of sources, such as incomplete or simplified models. Yet you can build useful models for aggregate or ...

Conditioned[expr, cond] or expr \[Conditioned] cond represents expr conditioned by the predicate cond.

LindleyDistribution[\[Delta]] represents a Lindley distribution with shape parameter \[Delta].

LogLikelihood[dist, {x_1, x_2, ...}] gives the log-likelihood function for observations x_1, x_2, ... from the distribution dist.

WakebyDistribution[\[Alpha], \[Beta], \[Gamma], \[Delta], \[Mu]] represents Wakeby distribution with shape parameters \[Beta] and \[Delta], scale parameters \[Alpha] and ...