10.06.2016 Views

eldo_user

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Monte Carlo Analysis<br />

CONFIDENCE Technique<br />

To control the relative error and have<br />

, then samples are simulated until:<br />

This statistical test is implemented as follows:<br />

where ε ABS and ε REL are respectively the absolute tolerance and the relative tolerances for<br />

convergence, with default values ε ABS = 10 −2 and ε REL = 10 −2 . By default the confidence level<br />

is chosen such that a 95% confidence interval is computed for μ, and you can adjust this<br />

parameter.<br />

Stopping Test for STD<br />

A similar criterion exists for the standard deviation. It is possible to give a confidence interval<br />

for the variance under some assumptions. With a random sequence θ 1 , θ 2 , ..., θ n which follows a<br />

normal distribution N(μ, σ 2 ) where the mean value μ is unknown, we can prove that:<br />

With a confidence interval:<br />

with confidence level 1 − α. The numbers a and b are automatically computed and satisfy the<br />

relation where . This statistical test is implemented as<br />

follows:<br />

The value σ p is obtained after p pilot simulations.<br />

516<br />

Eldo® User's Manual, 15.3

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!