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Displaying records 11 to 20 of 25 records.
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11. 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 ...

12. 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 ...

13. 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 ...

14. Preface
Topic: Statistics
Published: 9/2/2012
Authors: Andrew M Dienstfrey, Ronald F Boisvert

15. 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 ...

16. On Multiple-Method Studies
Topic: Statistics
Published: 10/4/2010
Authors: Chih-Ming Wang, Hariharan K Iyer
Abstract: In this paper we review statistical models that describe measurements from a multiple-method study such as in the development of a reference material. We also review requirements for the so-called GUM compliance as this appears to be an important cri ...

17. Performance Measurements for Evaluating Static and Dynamic Multiple Human Detection and Tracking Systems in Unstructured Environments
Topic: Statistics
Published: 6/30/2010
Authors: Bodt Bodt, Richard Camden, Harry A. Scott, Adam S Jacoff, Tsai Hong Hong, Tommy Chang, Richard J Norcross, Anthony J Downs, Ann M Virts
Abstract: The Army Research Laboratory (ARL) Robotics Collaborative Technology Alliance (CTA) conducted an assessment and evaluation of multiple algorithms for real-time detection of pedestrians in Laser Detection and Ranging (LADAR) and video sensor data take ...

18. 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 ...

19. Sensitivities and Variances for Fitted Parameters of Spheres
Series: NIST Interagency/Internal Report (NISTIR)
Report Number: 7616
Topic: Statistics
Published: 7/1/2009
Authors: Christoph Johann Witzgall, Marek Franaszek
Abstract: Experimental data have been gathered by applying 3D imaging systems, such as LIDAR/LADAR instruments, to spherical objects. This report provides a compilation of the statistical and analytical procedures to be used for an evaluation, to be reported ...

20. Soft-Decision Metrics for Coded Orthogonal Signaling in Symmetric Alpha-Stable Noise
Topic: Statistics
Published: 1/1/2008
Authors: Michael R Souryal, E G Larsson, B M Peric, B R Vojcic
Abstract: This paper derives new soft decision metrics for coded orthogonal signaling in impulsive noise, more specifically symmetric alpha-stable noise. For the case of a known channel amplitude and known noise dispersion, exact metrics are derived both for C ...

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