A Systematic Procedure for Assigning Uncertainties to Data Evaluations

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In this report, an algorithm that automatically constructs an uncertainty band around any evaluation curve is described. Given an evaluation curve and a corresponding set of experimental data points with x and y error bars, the algorithm expands a symmetric region around the evaluation curve until 68.3% of a set of points, randomly sampled from the experimental data, fall within the region. For a given evaluation curve, the region expanded in this way represents, by definition, a one-standard-deviation interval about the evaluation that accounts for the experimental data. The algorithm is tested against several benchmarks, and is shown to be ... continued below

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Younes, W February 20, 2007.

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Description

In this report, an algorithm that automatically constructs an uncertainty band around any evaluation curve is described. Given an evaluation curve and a corresponding set of experimental data points with x and y error bars, the algorithm expands a symmetric region around the evaluation curve until 68.3% of a set of points, randomly sampled from the experimental data, fall within the region. For a given evaluation curve, the region expanded in this way represents, by definition, a one-standard-deviation interval about the evaluation that accounts for the experimental data. The algorithm is tested against several benchmarks, and is shown to be well-behaved, even when there are large gaps in the available experimental data. The performance of the algorithm is assessed quantitatively using the tools of statistical-inference theory.

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PDF-file: 8 pages; size: 10.6 Mbytes

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  • Report No.: UCRL-TR-228283
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/902296 | External Link
  • Office of Scientific & Technical Information Report Number: 902296
  • Archival Resource Key: ark:/67531/metadc879885

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • February 20, 2007

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

Description Last Updated

  • Dec. 8, 2016, 11:25 p.m.

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Younes, W. A Systematic Procedure for Assigning Uncertainties to Data Evaluations, report, February 20, 2007; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc879885/: accessed September 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.