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Triangular Distribution

Evaluate and generate random samples from triangular distribution

Functions

 `makedist` Create probability distribution object
 `cdf` Cumulative distribution functions `icdf` Inverse cumulative distribution functions `iqr` Interquartile range `mean` Mean of probability distribution `median` Median of probability distribution `pdf` Probability density functions `random` Random numbers `std` Standard deviation of probability distribution `truncate` Truncate probability distribution object `var` Variance of probability distribution

Examples and How To

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.

Using Objects

 `TriangularDistribution` Triangular probability distribution object

Concepts

Triangular Distribution

The triangular distribution provides a simplistic representation of the probability distribution when limited sample data is available.

Nonparametric and Empirical Probability Distributions

Estimate a probability density function or a cumulative distribution function from sample data.