Standard libraries/Continuous distributions library
< Standard libraries
Revision as of 20:25, 9 January 2026 by Lchrisman (talk | contribs) (Created page with "category:Function libraries == Continuous distributionslibrary == == Using the Library == To use these functions in your model, you must add the <code>Continuous distri...")
Continuous distributionslibrary
Using the Library
To use these functions in your model, you must add the Continuous distributions.ana library to your model. To add, select File → Add Library... and find the Continuous distributions.ana file.
After selecting, you should select linked. Once added, the library appears on your definition menu and the functions may be used.
Functions in library
Function Loguniform( min,max )
- Identifier
- Loguniform
- Title
- LogUniform (min,max)
- Parameter declaration
- (min,max:Positive)
- Description
-
- This function calculates a log uniform distribution. The log uniform distribution results when the logarithm of the random variable is described by a uniform distribution. That is, if X is log uniformly distributed, then Y = ln X is uniformly distributed. Inputs are the minimum and maximum values for the random variable and must be positive and non-zero.
Function Logtriangular( min,mode,max )
- Identifier
- Logtriangular
- Title
- LogTriangular (min,mode,max)
- Parameter declaration
- (min,mode,max:Positive)
- Description
-
- This function calculates a log triangular distribution. The log triangular distribution results when the logarithm of the random variable is described by a triangular distribution. That is, if X is log triangularly distributed, then Y = ln X is triangularly distributed. Inputs are the minimum, mode, and maximum values for the random variable and must be positive and non-zero.
See also
Comments
Enable comment auto-refresher