A further study of the impact of bias on accountability

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When measurements are obtained for the purpose of material accountability, any deviation of averages from true value is one of great concern. The key term here is true value. Any deviation of averages from their true value will result in inventory discrepancies. It will not matter that the bias is of no statistical significance. Even small biases will over a period of time result in large inventory discrepancies. The terms `target value`, `accepted value`, and `certified value` are all very useful terms, and they certainly have their place in the statistical arena. However, the one of concern here is true ... continued below

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86 p.

Creation Information

Harvey, T.R. & McGuire, S.A. March 1, 1997.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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  • Oak Ridge Y-12 Plant
    Publisher Info: Oak Ridge Y-12 Plant, TN (United States)
    Place of Publication: Tennessee

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Description

When measurements are obtained for the purpose of material accountability, any deviation of averages from true value is one of great concern. The key term here is true value. Any deviation of averages from their true value will result in inventory discrepancies. It will not matter that the bias is of no statistical significance. Even small biases will over a period of time result in large inventory discrepancies. The terms `target value`, `accepted value`, and `certified value` are all very useful terms, and they certainly have their place in the statistical arena. However, the one of concern here is true value. True value, of course, is never known, but even with best efforts, deviations from it are often much larger than one has historically-believed them to be. With all of this in mind and with the aid of statistical calculations, simulation techniques, and statistical reasoning, the discussion here appears to provide reasonable estimates of the truth. The authors conclude that it is possible, in theory, to apply propagation of variance (POV) techniques when assigning limits of uncertainty about inventory differences which are based on the art of measuring. However, because of one`s inability to obtain reliable estimates of true biases, it is misleading to attempt to apply them with any stated degree of confidence. When, for example, one says that one is 95% confident, one could be in error by almost any amount. Such error depends almost totally on how well one is able to estimate these small `difficult to identify` deviations from true value. Even when biases are of significant size, large percentages of them are very often the result of randomness in the data and/or random variation in control chart center lines. Also, this study would not have seen those cases where both the center line and data have biases of the same direction and size. In such cases the combined random variation would permit both biases to go undetected.

Physical Description

86 p.

Notes

INIS; OSTI as DE97007844

Source

  • Other Information: PBD: Mar 1997

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  • Other: DE97007844
  • Report No.: Y/DG--26634
  • Grant Number: AC05-84OS21400
  • DOI: 10.2172/505368 | External Link
  • Office of Scientific & Technical Information Report Number: 505368
  • Archival Resource Key: ark:/67531/metadc693699

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  • March 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • April 8, 2016, 5:47 p.m.

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Harvey, T.R. & McGuire, S.A. A further study of the impact of bias on accountability, report, March 1, 1997; Tennessee. (digital.library.unt.edu/ark:/67531/metadc693699/: accessed August 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.