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

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  • Daniela Cocchi
  • Michele Scagliarini

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.

Suggested Citation

  • Daniela Cocchi & Michele Scagliarini, 2010. "A robust approach for assessing misclassification rates under the two‐component measurement error model," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(4), pages 389-400, July.
    • Handle: RePEc:wly:apsmbi:v:26:y:2010:i:4:p:389-400
    DOI: 10.1002/asmb.793
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