Technometrics · 1973 · 138 citations · 7 references
EngineeringQuality ManagementInstrumentationMetrologyStatisticsMeasurement ErrorMeasurement EstimationMeasurement In ScienceMeasurement PrecisionMeasurement UncertaintyReliabilityAccuracyInstrument AccuracyMeasurement AccuracyPrecisionPrecision AssessmentPrecision EstimationPrecision MeasurementStatistical Testing
Precision and accuracy of measurement are crucial yet often misunderstood concepts that require clear analytical definitions. The paper aims to develop appropriate statistical tests of significance for assessing measurement precision and accuracy, especially when only a few measurements are available. The authors review literature on estimating measurement error variances for two or three instruments, present techniques for comparing instrument imprecision and bias differences, and extend theory to three instruments with sensitive statistical tests. An illustrative example involving three instruments demonstrates the proposed analytical methodology.
A very important and yet widely misunderstood concept or problem in science and technology is that of precision and accuracy of measurement. It is therefore necessary to define the terms precision and accuracy (or imprecision and inaccuracy) clearly and analytically if possible. Also, we need to establish and develop appropriate statistical tests of significance for these measures, since generally a relatively small number of measurements will be made or taken in most investigations. In this paper a discussion is given of some of the pertinent literature for estimating variances in errors of measurement, or the “imprecisions” of measurement, when two or three instruments are used to take the same observations on a series of items or characteristics. Also, present techniques for comparing the imprecision of measurement of one instrument with that of a second instrument through the use of statistical tests of significance are reviewed, as well as procedures for detecting the significance of the difference in biases or levels of measurement of two instruments. Finally, we indicate methods of extending present theory to the case of three measuring instruments, for which rather sensitive statistical test of significance are developed for dealing with the precision and accuracy problem. An example for the three instrument case is given to illustrate the suggested methodology of analysis.
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E. J. G. Pitman · Biometrika · 1939 · 446 citations
Significance Test for Grubbs's Estimators
Clifford J. Maloney, S. C. Rastogi · Biometrics · 1970 · 43 citations