Case study: Using all the available data to assess a measurement system via a Bayesian analysis of unbalanced data.

Autor: Hamada, M. S., Olson, A. C., Tandon, L.
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Zdroj: Quality Engineering; 2023, Vol. 35 Issue 1, p160-164, 5p
Abstrakt: This article considers a real application where all the data available to assess a new measurement system do not follow a planned protocol. Instead of analyzing only the sample averages of the planned protocol data, we show how a hierarchical model allows all the available data to be used to assess a measurement system. We show the advantages of using all the available data from the application. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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