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TruncatedDistribution   (Built-in Mathematica Symbol)
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   (Built-in Mathematica Symbol)
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   (Mathematica Guide)
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 Statistical Distributions   (Mathematica Guide)
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   (Built-in Mathematica Symbol)
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   (Built-in Mathematica Symbol)
Conditioned[expr, cond] or expr \[Conditioned] cond represents expr conditioned by the predicate cond.
Random Variables   (Mathematica Guide)
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   (Built-in Mathematica Symbol)
LindleyDistribution[\[Delta]] represents a Lindley distribution with shape parameter \[Delta].
CensoredDistribution   (Built-in Mathematica Symbol)
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. ...
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