TY - JOUR
T1 - A comparison of methods for the evaluation of binary measurement systems
AU - van Wieringen, W.N.
AU - van den Heuvel, E.R.
PY - 2005
Y1 - 2005
N2 - 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.
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.
UR - https://www.scopus.com/pages/publications/28244492797
UR - https://www.scopus.com/inward/citedby.url?scp=28244492797&partnerID=8YFLogxK
U2 - 10.1080/08982110500225562
DO - 10.1080/08982110500225562
M3 - Article
SN - 0898-2112
VL - 17
SP - 495
EP - 507
JO - Quality engineering
JF - Quality engineering
ER -