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The estimation of parameters in nonlinear, implicit measurement error models with experiment-wide measurements
Anderson, K.K. - 2008
associated uncertainties is presented here. An iterative algorithm is presented which yields estimates of unknown model … parameters and their estimated covariance matrix. Further, the algorithm can be used to assess the sensitivity of the estimates …
Persistent link: https://www.econbiz.de/10009435461
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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 … 100 trials in a hypothesis test, estimated 95% CI from classical approximate CI theory are empirically examined to … (LHS), though no general theory has been verified for accurately estimating LHS CI, recent numerical experiments on the …
Persistent link: https://www.econbiz.de/10009435548
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Guidance document on the variance propagation requirements in DOE Order 5633. 3
Sanborn, J. - 2008
DOE facilities handling special nuclear material are required to comply with DOE Order 5633.3, which addresses various aspects of nuclear material accounting. In particular, it requires that control limits be calculated for nuclear material inventory differences. These requirements and methods...
Persistent link: https://www.econbiz.de/10009435582
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Experimental uncertainty estimation and statistics for data having interval uncertainty.
Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev - 2008
exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance …
Persistent link: https://www.econbiz.de/10009435587
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Robust incremental condition estimation
Bischof, C.H.; Tang, P.T.P. - 2008
This paper presents an improved version of incremental condition estimation, a technique for tracking the extremal singular values of a triangular matrix as it is being constructed one column at a time. We present a new motivation for this estimation technique using orthogonal projections. The...
Persistent link: https://www.econbiz.de/10009435816
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Characterization of nonlinear dynamic systems using artificial neural networks
Urbina, A.; Hunter, N.F.; Paez, T.L. - 2010
The efficient characterization of nonlinear systems is an important goal of vibration and model testing. The authors build a nonlinear system model based on the acceleration time series response of a single input, multiple output system. A series of local linear models are used as a template to...
Persistent link: https://www.econbiz.de/10009435920
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TCP performance in ATM networks: ABR parameter tuning and ABR/UBR comparisons
Chien Fang; Lin, A. - 2010
This paper explores two issues on TOP performance over ATM networks: ABR parameter tuning and performance comparison of binary mode ABR with enhanced UBR services. Of the fifteen parameters defined for ABR, two parameters dominate binary mode ABR performance: Rate Increase Factor (RIF) and Rate...
Persistent link: https://www.econbiz.de/10009435921
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OBEST: The Object-Based Event Scenario Tree Methodology
WYSS, GREGORY D.; DURAN, FELICIA A. - 2008
method uses a recursive algorithm to solve the object model and identify all possible scenarios and their associated … probabilities. Since scenario likelihoods are developed directly by the solution algorithm, they need not be computed by statistical …
Persistent link: https://www.econbiz.de/10009435938
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Forecasting urban highway travel for year 2005
Miaou, Shaw-Pin; Rathi, A.K.; Southworth, F.; Greene, D.L. - 2008
As part of a study aimed at estimating suburban highway needs for year 2005, models were developed for forecasting daily vehicle miles of travel (DVMT) for urban areas and its distribution by highway functional class, urban location, and urban area size. A regression model combining both time...
Persistent link: https://www.econbiz.de/10009435975
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Dynamic modeling of physical phenomena for probabilistic risk assessments using artificial neural networks
Benjamin, A.S.; Paez, T.L.; Brown, N.N. - 2010
-running estimation tool. They have developed a multivariate linear spline algorithm by extending previous ANN methods that use radial … basis functions. They have applied the algorithm to problems involving fires, shocks, and vibrations. They have found that … within the parameter range for which it is trained, the algorithm can simulate the nonlinear responses of complex systems …
Persistent link: https://www.econbiz.de/10009436055