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Monte Carlo Analysis<br />

Run-Length Control<br />

Run-Length Control<br />

You can use the MCCONV extract function to control the run-length in the context of<br />

sequential Monte Carlo algorithms for estimating E(Y). In contrast to fixed run-length<br />

approaches, samples are generated until some error criterion is satisfied.<br />

Two algorithms CONFIDENCE Technique and SETTLING Technique are provided to control<br />

the convergence. You can monitor the evolution of the various moments to precisely quantify<br />

the notion of convergence. The moments are: AVG and STD for the CONFIDENCE method<br />

and AVG, STD, KURT and SKEW for the SETTLING method to precisely quantify the notion<br />

of convergence. You can stop the Monte Carlo process early by using .MC AUTOSTOP if these<br />

quantities do not vary more than a <strong>user</strong>-specified limit. This can save CPU time.<br />

The simulation framework used to estimate μ = E[Y]:<br />

• First simulate θ 1 , θ 2 , ..., θ n and set:<br />

• The strong Law of Large Numbers says as .<br />

At this point it is not known how large n should be to obtain a confidence in μ n as an estimator<br />

of μ. In other words, for a fixed value of n, what can be said about the quality of μ n ? There are<br />

two methods to answer this: CONFIDENCE Technique and SETTLING Technique.<br />

Note<br />

Using the Monte Carlo analysis convergence test may interfere with the sensitivity analysis,<br />

and the combination of these features should be avoided as much as possible. The global<br />

sensitivity analysis in the Monte Carlo analysis needs a minimum number of simulations to<br />

provide good results (for example, ~1000 simulations). Users must be careful when interpreting<br />

global sensitivity analysis when the number of simulations is small.<br />

CONFIDENCE Technique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 514<br />

SETTLING Technique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517<br />

MCCONV Extract Function. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518<br />

CONFIDENCE Technique<br />

Convergence test based on confidence interval techniques.<br />

514<br />

Eldo® User's Manual, 15.3

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