Estler, W.
(1997),
A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement, Journal of Research of the National Institute of Standards and Technology, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=820841
(Accessed October 31, 2024)
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A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement
Published
Author(s)
Abstract
The Bienaym?-Chebyshev Inequality provides a quantitative bound on the level of confidence of a measurement with known combined standard uncertainty and assumed coverage factor. The result is independent of the detailed nature of the probability distribution that characterizes knowledge of the measurand.Citation
Journal of Research of the National Institute of Standards and Technology
Volume
102(5)
Pub Type
Journals
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Keywords
level of confidence, measurement, probability, uncertainty
Citation
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Created September 1, 1997, Updated February 19, 2017