Distribution
Library
UNIPASS™
has a library of 43
Continuous Distributions and 6 Discrete Distributions that may be used to
define 4 different classes of random variables. For each distribution:

High
level precision consistent to 14 decimal points

Wide
range of CDF values stretching from 2.8x10^{55}
to 0.9999999999999 (i.e., F[15.615] to F[7.385])

Flexible
input
methods (up to 9 methods) to define each random variable
Table 1: UNIPASS™
Distribution Library
Deterministic 
Beta 

Chisquare 
Discrete Uniform* 
Double exponential 
Exponential 
F distribution 
Gamma 
Geometric* 
Gumbel (Type I Largest) 
Inverted Chisquare 
Inverted Gamma 
Logistic 
Lognormal 
Maxwell 
Negative Binomial* 
Normal 
Pareto 
Poisson* 
Rayleigh 
Scaled Inverse Chisquare 
Student t 
Triangular 
Truncated ChiSquare 
Truncated Double Exponential 
Truncated Exponential 
Truncated F Distribution 
Truncated Gamma 
Truncated Gumbel (Type I Largest) 
Truncated Logistic 
Truncated Lognormal 
Truncated Maxwell 
Truncated Normal 
Truncated Pareto 
Truncated Rayleigh 
Truncated Student t 
Truncated Type I Smallest 
Truncated Type II Largest 
Truncated Weibull (Two parameters) 
Type I Smallest 
Type II Largest 

User Provided PDF/CDF Points for user’s defined continuous distributions 
User Provided PMF/CMF Points for user’s defined
discrete distributions* 
User Provided PDF/CDF FORTRAN Functions 
Weibull (Three Parameters) 

*The ones ended
with * are discrete, otherwise are continuous.
Variable
Definition Window
PDF
Plot Window
CDF
Plot Window
