Root mean square error (RMS): Difference between revisions
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'''urn:mrn:iala:dic:4-1-1205''' | |||
A means of expressing the variability of a measurement in one dimension – by summing the squares of the errors, dividing by the number of observations and taking the square root. In this one-dimensional case, the RMS error is also an estimate of the standard deviation of the errors. | A means of expressing the variability of a measurement in one dimension – by summing the squares of the errors, dividing by the number of observations and taking the square root. In this one-dimensional case, the RMS error is also an estimate of the standard deviation of the errors. | ||
Source: Nick Ward, IALA e-Nav | Source: Nick Ward, Vicechair, IALA e-Nav Committee, March 2009 | ||
{{languages|Root mean square error (RMS)}} | {{languages|Root mean square error (RMS)}} | ||
[[Category: | [[Category:4.1 General Terms]] | ||
[[Category:Alphabetical Index]] | [[Category:Alphabetical Index]] | ||
[[Category:IALA Dictionary 2009 Edition]] | [[Category:IALA Dictionary 2009 Edition]] | ||
[[Category:IALA Dictionary 2023 Revision]] | |||
Latest revision as of 12:35, 17 September 2026
A means of expressing the variability of a measurement in one dimension – by summing the squares of the errors, dividing by the number of observations and taking the square root. In this one-dimensional case, the RMS error is also an estimate of the standard deviation of the errors.
Source: Nick Ward, Vicechair, IALA e-Nav Committee, March 2009
