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Effect of initial seed and number of samples on simple-random and Latin-Hypercube Monte Carlo probabilities (confidence interval considerations)
ROMERO,VICENTE J. - 2008
In order to devise an algorithm for autonomously terminating Monte Carlo sampling when sufficiently small and reliable confidence intervals (CI) are achieved on calculated probabilities, the behavior of CI estimators must be characterized. This knowledge is also required in comparing the...
Persistent link: https://www.econbiz.de/10009435548
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A further study of the impact of bias on accountability
Harvey, T.R.; McGuire, S.A. - 2009
When measurements are obtained for the purpose of material accountability, any deviation of averages from true value is one of great concern. The key term here is true value. Any deviation of averages from their true value will result in inventory discrepancies. It will not matter that the bias...
Persistent link: https://www.econbiz.de/10009435607
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Two-stage sampling for acceptance testing
Atwood, C.L.; Bryan, M.F. - 2008
Sometimes a regulatory requirement or a quality-assurance procedure sets an allowed maximum on a confidence limit for a mean. If the sample mean of the measurements is below the allowed maximum, but the confidence limit is above it, a very widespread practice is to increase the sample size and...
Persistent link: https://www.econbiz.de/10009435858
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Two-stage sampling for acceptance testing
Atwood, C.L.; Bryan, M.F. - 2008
Sometimes a regulatory requirement or a quality-assurance procedure sets an allowed maximum on a confidence limit for a mean. If the sample mean of the measurements is below the allowed maximum, but the confidence limit is above it, a very widespread practice is to increase the sample size and...
Persistent link: https://www.econbiz.de/10009436257
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Design of Complex Systems in the presence of Large Uncertainties: a statistical approach
Koutsourelakis, P - 2008
performance statistics with respect to the design variables. For that purpose we explore parametric and non-parametric (kernel …. For that purpose the present paper advocates a framework that allows for calculating the values of response statistics … sensitivity of those statistics to the design variables of interest. …
Persistent link: https://www.econbiz.de/10009436326
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Creating Ensembles of Decision Trees Through Sampling
Kamath,C; Cantu-Paz, E - 2008
Recent work in classification indicates that significant improvements in accuracy can be obtained by growing an ensemble of classifiers and having them vote for the most popular class. This paper focuses on ensembles of decision trees that are created with a randomized procedure based on...
Persistent link: https://www.econbiz.de/10009436448