I'm pretty ignorant when it comes to statistics, so I'm hoping that there's an easy answer to my question (this is the good part of ignorance):(adsbygoogle = window.adsbygoogle || []).push({});

If I have run a set of Monte Carlo simulations of some process, where I have some set of input parameters that I've drawn from known distributions, and then some set of output variables, how do I correlate the outputs vs. the inputs? Specifically, if I have one output variable that I suspect depends strongly on just a couple of the inputs and is largely insensitive to the rest, is there a simple procedure I can apply to show this?

**Physics Forums - The Fusion of Science and Community**

Join Physics Forums Today!

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

# Correlating input and output in Monte Carlo simulations

Loading...

Similar Threads - Correlating input output | Date |
---|---|

A Interpreting Chi Squared ... backward | Feb 11, 2018 |

I Interpreting the correlation | Feb 6, 2018 |

I Correlation coeff in conditional distribution | Oct 6, 2017 |

I R Value in Social Sciences | Sep 26, 2017 |

Does input exist? Is f(x) identical to y? | Apr 23, 2010 |

**Physics Forums - The Fusion of Science and Community**