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Elimination of the Bias in the Course of Calibration
László J. Naszódi
Vol. 20, No. 2 (May, 1978), pp. 201-205
Published by: Taylor & Francis, Ltd. on behalf of American Statistical Association and American Society for Quality
Stable URL: http://www.jstor.org/stable/1268714
Page Count: 5
You can always find the topics here!Topics: Estimation bias, Calibration, Expected values, Unbiased estimators, Simulations, Point estimators, Experiment design, Random variables, Zero, Approximation
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Attention is drawn to a bias occurring in the course of calibration. Since the usual assumption of normality leads to an estimate without expectation, here a class of distributions of the errors is introduced which does not cause such a deficiency. Even in this class, a correction of the regression line defined with the help of standards might be necessary before estimating the abscissa value belonging to an unknown object. The estimate introduced is compared to the classical and inverse estimates. A mode of eliminating the error by experimental design is also discussed. The calibration procedure was simulated by computer.
Technometrics © 1978 American Statistical Association