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

SplicedDistribution[{w_1, w_2, ..., w_n}, {c_0, c_1, ..., c_n}, {dist 1, dist_2, ..., dist_n}] represents the distribution obtained by splicing the distributions dist_1, ...

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 c. ...

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

A random variable unlike a normal variable doesn't have a specific value, but rather a range of values and a densitity that gives different probabilities of obtaining values ...

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

CensoredDistribution[{x_min, x_max}, dist] represents the distribution of values that come from dist and are censored to be between x_min and x_max. ...