✦ LIBER ✦
A robust approach for assessing misclassification rates under the two-component measurement error model
✍ Scribed by Daniela Cocchi; Michele Scagliarini
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 108 KB
- Volume
- 26
- Category
- Article
- ISSN
- 1524-1904
- DOI
- 10.1002/asmb.793
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✦ Synopsis
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.