Generalized confidence intervals for process capability indices in the one-way random model
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Publication:745424
DOI10.1007/s00184-006-0123-2zbMath1433.62093OpenAlexW2055790956MaRDI QIDQ745424
Publication date: 14 October 2015
Published in: Metrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00184-006-0123-2
Related Items (10)
On Confidence Intervals for Process Capability Indices in a One-Way Random Model ⋮ Performance comparison of generalized confidence interval and modified sampling distribution approaches for assessing one-sided capability indices with gauge measurement errors ⋮ Generalized confidence intervals for the process capability indices in general random effect model with balanced data ⋮ Using a novel approach to assess process performance in the presence of measurement errors ⋮ Bootstrap lower confidence limits of superstructure process capability indices for Esscher-transformed Laplace distribution ⋮ Process Capability Assessment for Asymmetric Tolerances with Consideration of Gauge Measurement Errors ⋮ Performance evaluation of processes with asymmetric tolerances in the presence of gauge measurement errors ⋮ Inferences on the reliability in balanced and unbalanced one-way random models ⋮ Coverage of generalized confidence intervals ⋮ Process performance evaluation based on Taguchi capability index with the consideration of measurement errors
Cites Work
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- The \({C}_{pk}\) index for asymmetric tolerances: Implications and inference
- Interval estimation for the unbalanced case of the one-way random effects model
- Generalized Confidence Intervals
- How Reliable is Your Capability Index?
- Bootstrap confidence interval estimates of cpk: an introduction
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