Similar Search Results

[National Academies' Board on Mathematical Sciences and their Application] Final technical report

Scott T. Weidman - 2009

The National Academies' Board on Mathematical Sciences and their Applications (BMSA) is a primary interface between the research enterprise and federal agencies that rely on the mathematical sciences. The Board provides objective and authoritative advice on how best to apply the tools of...

Persistent link: https://www.econbiz.de/10009435947

1991 Annual report on scientific programs: A broad research program on the sciences of complexity

2008

1991 was continued rapid growth for the Santa Fe Institute (SFI) as it broadened its interdisciplinary research into the organization, evolution and operation of complex systems and sought deeply the principles underlying their dynamic behavior. Research on complex systems--the focus of work at...

Persistent link: https://www.econbiz.de/10009436710

The International Coal Statistics Data Base program maintenance guide

2008

secondary data base, meaning that information contained therein is derived entirely from other primary sources. It uses dBase …

Persistent link: https://www.econbiz.de/10009437030

Methods for developing and validating survivability distributions

Williams, R.L. - 2008

simulation was used to develop the system survivability distribution from the component distributions using a system model that … applied by computer simulation; and (3) neither test data nor adequate knowledge of the physics are known, in which case, one … performance of this communications network is developed, as well as the survivability distributions for the nodes and links based …

Persistent link: https://www.econbiz.de/10009435451

Power to detect normal mixtures: Simulation results

Thode, H.C. Jr. - 2008

Twenty tests for normality were compared for the purpose of detecting mixtures of two normal components with unequal means but equal variance. The purpose of this study was to determine the power of tests specifically designed to detect mixtures, i.e., the likelihood ratio and Engelman-Hartigan...

Persistent link: https://www.econbiz.de/10009436941

Design of Complex Systems in the presence of Large Uncertainties: a statistical approach

Koutsourelakis, P - 2008

also allows to quantify their effect in the response/behavior/performance of the system. In such a framework the … performance function(s) of interest are also random and optimization of the system with respect to the design variables has to be … the performance with respect to the uncertain and design variables. The proposed algorithm is directly parallelizable and …

Persistent link: https://www.econbiz.de/10009436326

Uncertainty Analysis of Nondestructive Assay Measurements of Nuclear Waste

Blackwood, Larry Gene; Harker, Yale Deon - 2009

reviews performance measures appropriate for the assessment of NDA uncertainty, describes characteristics of nuclear waste …

Persistent link: https://www.econbiz.de/10009437273

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

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

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