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Displaying records 1 to 10 of 116 records.
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Topic: Statistics
Published: 12/11/2014
Authors: Guodong Shao, Sanjay Jain, Seungjun Shin
Abstract: Manufacturing organizations are able to accumulate large amounts of plant floor production and environmental data due to advances in data collection, communications technology, and use of standards. The challenge has shifted from collecting a suffic ...

2. 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 ...

3. 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 ...

4. Resource Allocation for Selection Decisions with Measurement Uncertainty
Topic: Statistics
Published: 6/3/2014
Authors: Dennis D Leber, Jeffery W Herrmann
Abstract: Before selecting an alternative based on attribute values that have been determined through a measurement process that has error, a decision-maker can, in some cases, collect additional data to reduce uncertainty. Unlike previous work in the area of ...

5. 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 ...

6. 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 ...

7. 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 ...

8. Maximum-likelihood fits to histograms for improved parameter estimation
Topic: Statistics
Published: 2/7/2014
Author: Joseph Westbrook Fowler
Abstract: Straightforward methods for adapting the familiar {chi}^u2^ statistic to histograms of discrete events and other Poisson distributed data generally yield biased estimates of the parameters of a model. The bias can be important even when the total ...

9. Restricted Likelihood Representation for Multivariate Heterogeneous Random Effects Models
Topic: Statistics
Published: 1/31/2014
Author: Andrew L Rukhin
Abstract: In the random-effects model of meta-analysis for heterogeneous multidimensional data a canonical representation of the restricted likelihood function is obtained. This representation is related to a linear data transform which is based on the algebr ...

10. Comparison of 1D, 2D and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom images
Topic: Statistics
Published: 1/11/2014
Authors: John Lu, Charles D. Fenimore
Abstract: Purpose: To estimate the bias and variance of radiologists measuring the size of spherical and complex synthetic nodules. Methods: This study did not require IRB approval. Six radiologists estimated the size of 10 synthetic nodules embedded within ...

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