Inference on C pk for autocorrelated data in the presence of random measurement errors

DOI10.1080/02664760902914482OpenAlexW2009166315MaRDI QIDQ5123505

Michele Scagliarini

Publication date: 29 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760902914482

zbMATH Keywords

estimatorautocorrelationprocess capability indicesprocess specificationsgauge measurement errors

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

The new synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement errors ⋮ Multivariate process capability using principal component analysis in the presence of measurement errors ⋮ A combined mixed-s-skip sampling strategy to reduce the effect of autocorrelation on the X̄ scheme with and without measurement errors

Cites Work

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• Register‐based Statistics
• Testing process capability based onC_pmin the presence of random measurement errors
• Estimating process capability indexes for autocorrelated data
• CAPABILITY MEASURES FORm-DEPENDENT STATIONARY PROCESSES
• ESTIMATION OFC_pFOR AUTOCORRELATED DATA AND MEASUREMENT ERRORS
• Design and Analysis of Gauge R&R Studies

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