Evaluation of measurement systems with a small number of observers

Autor:	Edwin R. van den Heuvel, Albert Trip
Přispěvatelé:	Stochastics (KDV, FNWI)
Jazyk:	angličtina
Rok vydání:	2002
Předmět:	ANOVA gauge R&R System of measurement media_common.quotation_subject Prediction interval Estimator Random effects model Measure (mathematics) Industrial and Manufacturing Engineering Gauge (instrument) Statistics Econometrics Quality (business) Safety Risk Reliability and Quality media_common Mathematics
Zdroj:	Quality Engineering, 15(2), 323-331. Taylor and Francis Ltd.
ISSN:	0898-2112
Popis:	The standard R&R study for evaluation of measurement systems assumes that participating observers constitute a random sample. Often there are only a few observers, all of them included in the study. An alternative measure for the gauge R&R is proposed for this situation, and it is shown that this may improve the perception of the quality of the measurement system markedly, especially with only a few observers. Finally it is shown that a simple estimator can be used, with a bias limited to just a few percent.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7b73754a228e615396af2cc880f6ca6 https://doi.org/10.1081/qen-120015864 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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