The function automatically checks whether the most likely x value (mode) lies inside the specified (min, max) interval. In case it is greater than the specified maximum value, the function interprets it as the maximum - and vice versa: max is interpreted as mode, so the function call triangular (1, 5, 10)
is the same as triangular (1, 10, 5): it generates a sample of the Triangular distribution with the min value : 1, max value: 10, and most likely value: 5.
The Triangular distribution is a continuous distribution bounded on both sides.
The Triangular distribution is often used when no or little data is available; it is rarely an accurate representation of a data set. However, it is employed as the functional form of regions for fuzzy logic due to its ease of use.
The Triangular distribution can take on very skewed forms including negative skewness. For the exceptional cases where the mode is either the min or max, the Triangular distribution becomes a right triangle.
- Description
- Generates a sample of the Triangular distribution. You can specify argument values in any order: (min, max, mode), or (min, mode, max). AnyLogic will automatically detect the argument with the maximum value, and set this value as the distribution's maximum. The same for most likely (mode) value. The function call triangular (1, 5, 10) is similar to triangular (1, 10, 5).
- Parameters
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Name Type Description min double the minimum x value max double the maximum x value mode double the most likely x value - Result
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Type Description double the generated sample
- Description
- Generates a sample of the Triangular distribution with mode set to (min + max)/2. Is equivalent to triangular(min, (min + max)/2, max).
- Parameters
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Name Type Description min double the minimum x value max double the maximum x value - Result
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Type Description double the generated sample
- Description
- Generates a sample of the Triangular distribution using the specified random number generator. The function automatically checks whether the most likely x value (mode) lies inside the specified (min, max) interval. In the case it is greater than the specified maximum value, the function interprets it as the maximum - and vice versa: max is interpreted as mode, so the function call triangular (1, 5, 10, r) is the same as triangular (1, 10, 5, r): it generates a sample of the Triangular distribution with the min value:1, max value: 10, and most likely value: 5.
- Parameters
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Name Type Description min double the minimum x value max double the maximum x value mode double the most likely x value r java.util.Random the random number generator - Result
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Type Description double the generated sample
This document includes content from the Stat::Fit User's Manual. Copyright 2016 Geer Mountain Software Corp.
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