Uncertainty of measurement: Difference between revisions
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|description='''Uncertainty of measurement''' is a parameter, associated with the result of a [[measurement]], that characterizes the dispersion of the values that could reasonably be attributed to the [[measurand]]. The parameter can be, for example, a standard deviation (or a given multiple of it), or the half-width of an interval having a stated level of confidence. The components of uncertainty are evaluated experimentally from statistical distributions (Type A) or evaluated from assumed probability distributions based on experience or other information (Type B). All components are expressed as standard uncertainties that are combined into one final expression. | |description='''Uncertainty of measurement''' is a parameter, associated with the result of a [[measurement]], that characterizes the dispersion of the values that could reasonably be attributed to the [[measurand]]. The parameter can be, for example, a standard deviation (or a given multiple of it), or the half-width of an interval having a stated level of confidence. The components of uncertainty are evaluated experimentally from statistical distributions (Type A) or evaluated from assumed probability distributions based on experience or other information (Type B). All components are expressed as standard uncertainties that are combined into one final expression. | ||
|info=[[ISO 15189: | |info=[[ISO 15189:2012 Medical laboratories — Particular requirements for quality and competence]], [[ISO 17511:2003 In vitro diagnostic medical devices]] | ||
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Latest revision as of 05:55, 19 July 2022
Description
Uncertainty of measurement is a parameter, associated with the result of a measurement, that characterizes the dispersion of the values that could reasonably be attributed to the measurand. The parameter can be, for example, a standard deviation (or a given multiple of it), or the half-width of an interval having a stated level of confidence. The components of uncertainty are evaluated experimentally from statistical distributions (Type A) or evaluated from assumed probability distributions based on experience or other information (Type B). All components are expressed as standard uncertainties that are combined into one final expression.
Reference: ISO 15189:2012 Medical laboratories — Particular requirements for quality and competence, ISO 17511:2003 In vitro diagnostic medical devices
MitoPedia O2k and high-resolution respirometry:
Oroboros QM