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Displaying records 1 to 10 of 21 records.
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1. On Statistical Modeling and Forecasting of Energy Usage in Smart Grid
Topic: Statistics
Published: 10/8/2014
Authors: Wei Yu, Dou An, David Wesley Griffith, Qingyu Yang, Guobin Xu
Abstract: Developing effective energy resource management in the smart grid is challenging because the entities in both the demand and supply sides experience various uncertainties. This paper addresses the issue of quantifying uncertainties on the energy ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914931

2. Pairwise Alignment of Chromatograms using a Fisher-Rao Metric
Topic: Statistics
Published: 9/2/2014
Authors: William E Wallace III, Anuj Srivastava, Kelly H Telu, Yamil Simon
Abstract: A new approach to aligning chromatograms is introduced and applied to examples of metabolite identification by liquid chromatography mass spectrometry (LC MS). A square root representation of the chromatogram‰s derivative coupled with a Fisher Rao R ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915245

3. Optimizing Hybrid Metrology through a Consistent Multi-Tool Parameter Set and Uncertainty Model
Topic: Statistics
Published: 4/14/2014
Authors: Richard M Silver, Bryan M Barnes, Nien F Zhang, Hui H. Zhou, Andras Vladar, John S Villarrubia, Regis J Kline, Daniel Franklin Sunday, Alok Vaid
Abstract: There has been significant interest in hybrid metrology as a novel method for reducing overall measurement uncertainty and optimizing measurement throughput (speed) through rigorous combinations of two or more different measurement techniques into a ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915846

4. Bootstrap Variability Studies in ROC Analysis on Large Datasets
Topic: Statistics
Published: 3/19/2014
Authors: Jin Chu Wu, Alvin 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=915595

5. 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914981

6. 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=914613

7. Statistical Analysis of Reader Measurement Variability in Nodule Sizing with CT Phantom Imaging Data
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7879
Topic: Statistics
Published: 11/23/2012
Authors: John Lu, Charles D. Fenimore, Nicholas Petrick, Rongping Zeng, Marios A Gavrielides, David Clunie, Kristin Borradaile, Robert Ford, Hyun J. Grace Kim, Michael McNitt-Gray, Binsheng Zhao, Andrew Buckler
Abstract: RSNA has conducted a phantom quantitative imaging biomarker (QIBA) study to assess reader measurement variability of both spherical and non-spherical nodules using CT imaging. Statistical analysis of intra-reader and inter-reader variability of v ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911246

8. Fast Sequential Importance Sampling fo 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=905927

9. Preface
Topic: Statistics
Published: 9/2/2012
Authors: Andrew M Dienstfrey, Ronald F Boisvert
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=911130

10. 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 H. 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 ...
http://www.nist.gov/manuscript-publication-search.cfm?pub_id=908377



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