A comparison of methods for the evaluation of binary measurement systems

W.N. van Wieringen; E.R. van den Heuvel

doi:10.1080/08982110500225562

A comparison of methods for the evaluation of binary measurement systems

W.N. van Wieringen, E.R. van den Heuvel

Mathematics

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Many quality programs prescribe a measurement system analysis (MSA) to be performed on the key quality characteristics. This guarantees the reliability of the acquired data, which serve as the basis for drawing conclusions with respect to the behavior of the key quality characteristics. When dealing with continuous characteristics, the Gauge R&R is regarded as the statistical technique in MSA. For binary characteristics, no such universally accepted equivalent is available. We discuss methods that could serve as an MSA for binary data. We argue that a latent class model is the most promising candidate. Copyright © Taylor & Francis Inc.

Original language	English
Pages (from-to)	495-507
Journal	Quality engineering
Volume	17
DOIs	https://doi.org/10.1080/08982110500225562
Publication status	Published - 2005

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title = "A comparison of methods for the evaluation of binary measurement systems",

abstract = "Many quality programs prescribe a measurement system analysis (MSA) to be performed on the key quality characteristics. This guarantees the reliability of the acquired data, which serve as the basis for drawing conclusions with respect to the behavior of the key quality characteristics. When dealing with continuous characteristics, the Gauge R&R is regarded as the statistical technique in MSA. For binary characteristics, no such universally accepted equivalent is available. We discuss methods that could serve as an MSA for binary data. We argue that a latent class model is the most promising candidate. Copyright {\textcopyright} Taylor & Francis Inc.",

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AB - Many quality programs prescribe a measurement system analysis (MSA) to be performed on the key quality characteristics. This guarantees the reliability of the acquired data, which serve as the basis for drawing conclusions with respect to the behavior of the key quality characteristics. When dealing with continuous characteristics, the Gauge R&R is regarded as the statistical technique in MSA. For binary characteristics, no such universally accepted equivalent is available. We discuss methods that could serve as an MSA for binary data. We argue that a latent class model is the most promising candidate. Copyright © Taylor & Francis Inc.

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A comparison of methods for the evaluation of binary measurement systems

Abstract

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