Dakota Reference Manual: random

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

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random

Uses purely random Monte Carlo sampling to sample variables

## Specification

Alias: none

Argument(s): none

## Description

The `random` keyword invokes Monte Carlo sampling as the means of drawing samples of uncertain variables according to their probability distributions.

Default Behavior

In most contexts, Monte Carlo sampling is not the default sampling mode (exception: multilevel_sampling). To change this behavior, the `random` keyword must be specified in conjuction with the `sample_type` keyword.

Usage Tips

Monte Carlo sampling is more computationally expensive than Latin Hypercube Sampling as it requires a larger number of samples to accurately estimate statistics.

## Examples

    method
      sampling
        sample_type random
        samples = 200