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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
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Wide
range of CDF values stretching from 2.8x10-55
to 0.9999999999999 (i.e., F[-15.615] to F[7.385])
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Flexible
input
methods (up to 9 methods) to define each random variable
Table 1: UNIPASS™
Distribution Library
|
Deterministic |
Beta |
|
|
Chi-square |
|
Discrete Uniform* |
Double exponential |
|
Exponential |
F distribution |
|
Gamma |
Geometric* |
|
Gumbel (Type I Largest) |
Inverted Chi-square |
|
Inverted Gamma |
Logistic |
|
Lognormal |
Maxwell |
|
Negative Binomial* |
Normal |
|
Pareto |
Poisson* |
|
Rayleigh |
Scaled Inverse Chi-square |
|
Student t |
Triangular |
|
Truncated Chi-Square |
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 |
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User Provided PDF/CDF Points for user’s defined continuous distributions |
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User Provided PMF/CMF Points for user’s defined
discrete distributions* |
User Provided PDF/CDF FORTRAN Functions |
|
Weibull (Three Parameters) |
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*The ones ended
with * are discrete, otherwise are continuous.
Variable
Definition Window
PDF
Plot Window
CDF
Plot Window
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