A process capability index for averages of observations from new batches in the case of the balanced random effects model

DOI10.1016/J.JSPI.2009.06.001zbMath1177.62142OpenAlexW2036718304MaRDI QIDQ1036701

Delson Chikobvu, Abrie J. van der Merwe

Publication date: 13 November 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.06.001

zbMATH Keywords

Monte Carlo simulationJeffreys' priorreference priorvariance components modelprobability matching priorBayesian frameworkmedical exampleprocess performance index

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30) Monte Carlo methods (65C05) Medical applications (general) (92C50) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (2)

Goal directed programming for determining process efficiency using data envelopment analysis ⋮ A process capability index for averages of observations from new batches in the case of the balanced random effects model

Cites Work

• A process capability index for averages of observations from new batches in the case of the balanced random effects model
• Posterior distributions for functions of variance components
• Improved Sampling‐Importance Resampling and Reduced Bias Importance Sampling
• On Priors Providing Frequentist Validity for Bayesian Inference
• Some Process Capability Indices are More Reliable than One Might Think
• Bayesian analysis of a three-component hierarchical design model

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