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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