MonographDOI
Design and analysis of gauge R&R studies : making decisions with confidence intervals in random and mixed ANOVA models
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TLDR
This work presents a meta-modelling framework for designing Gauge R&R Experiments with Balanced One-Factor Random Models and Balanced Two-Factor Crossed Random Models with Interaction and Strategies for Constructing Intervals with ANOVA Models.Abstract:
Preface 1. Introduction 2. Balanced One-Factor Random Models 3. Balanced Two-Factor Crossed Random Models with Interaction 4. Design of Gauge R&R Experiments 5. Balanced Two-Factor Crossed Random Models with No Interaction 6. Balanced Two-Factor Crossed Mixed Models 7. Unbalanced One- and Two-Factor Models 8. Strategies for Constructing Intervals with ANOVA Models Appendix A. The Analysis of Variance Appendix B. MLS and GCI Methods Appendix C. Tables of F-values Bibliography Index.read more
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Fiducial Generalized Confidence Intervals
TL;DR: In this article, a subclass of generalized pivotal quantities, called fiducial generalized pivotal quantity (FGPQs), is proposed and shown to have correct frequentist coverage, at least asymptotically.
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The Biological Variation Data Critical Appraisal Checklist: A Standard for Evaluating Studies on Biological Variation
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Confidence Intervals and Power Calculations for Within-Person Biological Variation: Effect of Analytical Imprecision, Number of Replicates, Number of Samples, and Number of Individuals
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Journal ArticleDOI
Biological Variation: The Effect of Different Distributions on Estimated Within-Person Variation and Reference Change Values
Thomas Røraas,Thomas Røraas,Bård Støve,Per Hyltoft Petersen,Sverre Sandberg,Sverre Sandberg,Sverre Sandberg +6 more
TL;DR: The CV-ANOVA model is recommended for both calculation of CVI and the step-by-step approach of checking for outliers and homogeneity in replicates and samples and the standard method for calculation of RCV should not be used when using CVs.
Journal ArticleDOI
Comparison of confidence interval methods for an intra-class correlation coefficient (ICC)
TL;DR: This study examines the performance of three different methods for constructing an interval in a two-way, crossed, random effects model without interaction: the Generalized Confidence Interval method, the Modified Large Sample method (MLS), and a Bayesian method based on a noninformative prior distribution (NIB).