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Efficiency effects of variation in controlled experimental variables
Wendelbeger, J.R. - 2009
When a designed experiment is conducted, the exact levels of controlled experimental variables specified by the design may not be attainable. Two different types of situations can occur in which the actual settings of the design variables deviate from the target design settings. In one case, the...
Persistent link: https://www.econbiz.de/10009436703
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Modeling and Analysis in Support of Decision Making for Technological Investment
Lenhart, S - 2008
stochastic terms (weather conditions, human factors, political circumstances, fluctuations in the quality of carburant, wear and …
Persistent link: https://www.econbiz.de/10009436136
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Technology trends in econometric energy models: Ignorance or information
Boyd, G.; Kokkelenberg, E.; Ross, M. - 2008
Simple time trend variables in factor demand models can be statistically powerful variables, but may tell the researcher very little. Even more complex specification of technical change, e.g. factor biased, are still the economentrician's measure of ignorance'' about the shifts that occur in the...
Persistent link: https://www.econbiz.de/10009435383
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Methods for developing and validating survivability distributions
Williams, R.L. - 2008
A previous report explored and discussed statistical methods and procedures that may be applied to validate the survivability of a complex system of systems that cannot be tested as an entity. It described a methodology where Monte Carlo simulation was used to develop the system survivability...
Persistent link: https://www.econbiz.de/10009435451
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The estimation of parameters in nonlinear, implicit measurement error models with experiment-wide measurements
Anderson, K.K. - 2008
Measurement error modeling is a statistical approach to the estimation of unknown model parameters which takes into account the measurement errors in all of the data. Approaches which ignore the measurement errors in so-called independent variables may yield inferior estimates of unknown model...
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
probabilities ranging between 0.25 and 0.75. The efficiency advantage of LHS vanishes, however, as the probability extremes of 0 and …
Persistent link: https://www.econbiz.de/10009435548
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Experimental uncertainty estimation and statistics for data having interval uncertainty.
Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev - 2008
intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than …, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics … widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as …
Persistent link: https://www.econbiz.de/10009435587
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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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Expert systems and the CPI product substitution review: A needs analysis for the US Bureau of Labor Statistics
Arrowood, L.F.; Tonn, B.E. - 2008
Bureau of Labor Statistics (BLS) to substantially automate product substitution decisions associated with the Consumer Price …
Persistent link: https://www.econbiz.de/10009435890
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Experience producing simulated events for the DZero experiment on the SAM-Grid
Garzoglio, G.; Terekhov, I.; /Fermilab; Snow, J.; … - 2008
present our statistics and the ''lessons learned'' in running large high energy physics applications on a grid infrastructure. …
Persistent link: https://www.econbiz.de/10009435895