Case study: Using all the available data to assess a measurement system via a Bayesian analysis of unbalanced data. Issue Volume 35:Issues 1(2023) (2nd January 2023)

• Record Type: Journal Article
• Authors: Hamada, M. S.; Olson, A. C.; Tandon, L.
• Is Part Of: Quality engineering. Volume 35:Issues 1(2023)
• Page Start: 160
• Page End: 164
• Publication Date: 2023-01-02
• Subjects: Bayesian inference -- credible interval -- normal distribution -- posterior distribution -- prior distribution -- relative standard deviation; Quality control -- Periodicals; Production management -- Quality control -- Periodicals; 658.5
• DOI: 10.1080/08982112.2022.2101004
• Languages: English
• ISSNs: 0898-2112

Abstract

ABSTRACT: 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.