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You searched on: Topic Area: Statistics Sorted by: title

Displaying records 1 to 10 of 29 records.
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1. 10 V Programmable Josephson Voltage Standard and its Application in Direct Comparison with the Conventional Josephson Voltage Standard
Topic: Statistics
Published: 8/17/2015
Authors: Yi-hua Tang, James Wachter, Alain Rufenacht, Gerald J FitzPatrick, Samuel Paul Benz
Abstract: This paper briefly describes the working principle of the 10 V programmable Josephson voltage standard (PJVS) that was developed at the National Institute of Standards and Technology (NIST) and how to use it in a direct comparison with a conventional ...

2. A Bayesian Statistical Model for Hybrid Metrology to Improve Measurement Accuracy
Topic: Statistics
Published: 7/31/2011
Authors: Richard M Silver, Nien F Zhang, Bryan M Barnes, Jing Qin, Hui Zhou, Ronald G Dixson
Abstract: We present a method to combine measurements from different techniques that reduces uncertainties and can improve measurement throughput. The approach directly integrates the measurement analysis of multiple techniques that can include different conf ...

3. An Integrated Detection System Against False Data Injection Attacks in the Smart Grid
Topic: Statistics
Published: 3/4/2014
Authors: Wei Yu, David Wesley Griffith, Linqiang Ge, Sulabh Bhattarai, Nada T Golmie
Abstract: The smart grid is a new type of power grid that will use the advanced communication network technologies to support more efficient energy transmission and distribution. The grid infrastructure was designed for reliability; but security, especiall ...

4. Applying the Hedonic Method
Series: Technical Note (NIST TN)
Report Number: 1811
Topic: Statistics
Published: 9/18/2013
Author: Stanley W Gilbert
Abstract: Often, advances in measurement science will enable the development of new product innovations. When trying to estimate the value of the benefits of an advance in measurement science, it can be difficult to estimate the value of those new product inn ...

5. Artificial Intelligence Tools for Failure Event Data Management and Probability Risk Analysis for Failure Prevention
Topic: Statistics
Published: 10/25/2009
Authors: Jeffrey T Fong, Pedro Vincente Marcal
Abstract: Over the last thirty years, much research has been done on the development of failure event databases and fatigue modeling of crack growth in pressure vessels and piping. According to a USNRC report (NUREG/CR6674, 2000), results of a fatigue crack g ...

6. Bayesian Calibration of Transferable, Coarse-Grained Force Fields
Topic: Statistics
Published: 4/15/2016
Authors: Thomas William Rosch, Frederick R Phelan Jr., Paul N Patrone
Abstract: Generating and calibrating forces that are transferable across a range of state-points remains a challenging problem in coarse-grained (CG) molecular dynamics (MD). In this work, we present a Bayesian correction algorithm, inspired by ideas fro ...

7. Bootstrap Variability Studies in ROC Analysis on Large Datasets
Topic: Statistics
Published: 3/19/2014
Authors: Jin Chu Wu, Alvin Frank Martin, Raghu N Kacker
Abstract: The nonparametric two-sample bootstrap is employed to compute uncertainties of measures in receiver operating characteristic (ROC) analysis on large datasets in areas such as biometrics, and so on. In this framework, the bootstrap variability was emp ...

8. Ensemble Neural Network Model for Predicting the Energy Consumption of a Milling Machine
Topic: Statistics
Published: 7/31/2015
Authors: Ronay Ak, Moneer M Helu, Sudarsan Rachuri
Abstract: Accurate prediction of the energy consumption is critical for energy-efficient production systems. However, the majority of the existing prediction models aim at providing only point predictions and can be affected by the uncertainties in the mod ...

9. Experimental Bounds on Classical Random Field Theories
Topic: Statistics
Published: 12/10/2014
Authors: Joffrey Kent Peters, Sergey V Polyakov, Jingyun Fan, Alan L Migdall
Abstract: Alternative theories to quantum mechanics motivate important fundamental tests of our understanding and description of the smallest physical systems. Here we place experimental limits on those classical field theories which result in power-depend ...

10. Fast Sequential Importance Sampling to Estimate the Graph Reliability Polynomial
Topic: Statistics
Published: 11/8/2012
Authors: David G. Harris, Francis Sullivan, Isabel M Beichl
Abstract: The reliability polynomial of a graph measures the number of its connected subgraphs of various sizes. Algortihms based on sequential importance sampling (SIS) have been proposed to estimate a graph's reliahbility polynomial. We develop an improved ...

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