Ten new checks to assess the statistical quality of Monte Carlo solutions in MCNP
Description:
The central limit theorem can be applied to a Monte Carlo solution if: The random variable x has a finite mean and a finite variance; and the number N of independent observations grows large. When these two conditions are satisfied, a confidence interval based on the normal distribution with a specified coverage probability can be formed. The first requirement is generally satisfied by the knowledge of the type of Monte Carlo tally being used. The Monte Carlo practitioner has only a limited num…
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Date:
February 1, 1994
Creator:
Forster, R. A.; Booth, T. E. & Pederson, S. P.
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UNT Libraries Government Documents Department