A robust approach for assessing misclassification rates under the two‐component measurement error model

Daniela Cocchi and Michele Scagliarini

Applied Stochastic Models in Business and Industry, 2010, vol. 26, issue 4, 389-400

Abstract: The majority of actions designed to improve processes and quality include the assessment of the capability of a measurement system. The statistical model relating the measured value to the true, but not observable, value of a product characteristic is usually Gaussian and additive. In this paper we propose to extend the said model to a more general formulation by introducing the structure of the two‐component error model. An approximated method for evaluating the misclassification rates under the two‐component error model is proposed and assessed. Copyright © 2009 John Wiley & Sons, Ltd.

Date: 2010
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https://doi.org/10.1002/asmb.793

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:26:y:2010:i:4:p:389-400

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