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A Guard-Band Strategy for Managing False-Accept Risk

About this Article
This article by Mike Dobbert was presented at the NCSLI 2008 Symposium and published in the Proceedings.. It further develops the subject of his 2007 presentation (see link under Additional Material).

Abstract

When performing a calibration, the risk of incorrectly declaring a device as in-tolerance (false-accept risk) is dependent upon several factors. Those factors include the specified tolerance limit, guard-band, the calibration process uncertainty and the a priori probability that the device is in-tolerance. A good estimate of the a priori probability may be difficult to obtain. Historical or device population information for estimating the a priori probability may not be readily available and may not represent the specific device under test.

A common strategy for managing measurement decision risk is to choose a guard-band that results in the desired false-accept risk given the tolerance limit, the calibration process uncertainty and the a priori probability. This paper presents a guard-band strategy for managing false-accept risk with only limited knowledge of the a priori probability that a device is in-tolerance.

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PDF file Guard-Band Strategy for Managing False-Accept Risk
Additional Material

The PowerPoint® slideshow used at the paper's presentation is also available here.

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You may also download a self-extracting (.exe) archive file containing several MATLAB® scripts which can be used to reproduce the graphics contained in the paper as well as the calculations found in the example. Note that these scripts require the MATLAB® Statistics Toolbox.

® The MathWorks, Inc.

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