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A Distribution-Independent Bound on the Level of Confidence in the Result of a Measurement

Published

Author(s)

William T. Estler

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)

Keywords

level of confidence, measurement, probability, uncertainty

Citation

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 April 16, 2024)
Created September 1, 1997, Updated February 19, 2017