Triangular Distribution

Evaluate and generate random samples from triangular distribution

Statistics and Machine Learning Toolbox™ provides the TriangularDistribution object with multiple object functions for working with the triangular distribution. To learn about the triangular distribution, see Triangular Distribution.

Functions

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Create `TriangularDistribution` Object

makedist Create probability distribution object

Work with `TriangularDistribution` Object

`cdf`	Cumulative distribution function
`icdf`	Inverse cumulative distribution function
`iqr`	Interquartile range of probability distribution
`mean`	Mean of probability distribution
`median`	Median of probability distribution
`pdf`	Probability density function
`plot`	Plot probability distribution object (Since R2022b)
`random`	Random numbers
`std`	Standard deviation of probability distribution
`truncate`	Truncate probability distribution object
`var`	Variance of probability distribution

Objects

TriangularDistribution Triangular probability distribution object

Topics

Triangular Distribution
The triangular distribution provides a simplistic representation of the probability distribution when limited sample data is available.
Generate Random Numbers Using the Triangular Distribution
This example shows how to create a triangular probability distribution object based on sample data, and generate random numbers for use in a simulation.
Nonparametric and Empirical Probability Distributions
Estimate a probability density function or a cumulative distribution function from sample data.