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Random Effects Model for Bias Estimation: Higher Order Asymptotic Inference
Published
Author(s)
Andrew L. Rukhin
Abstract
A common issue in metrology is to validate or to calibrate laboratory's method. To solve this problem a lab performs measurements on a certified reference material with a given coverage interval. Assuming that the measurand is random with a normal distribution whose parameters are obtained from the reference material certificate, new remarkably accurate confidence intervals for the bias are derived. These procedures are based on modern higher order asymptotic statistical methods.