Topic
ANOVA gauge R&R
About: ANOVA gauge R&R is a research topic. Over the lifetime, 154 publications have been published within this topic receiving 2180 citations.
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TL;DR: Computations for the standard two-factor design are demonstrated, aspects of designing the experiment are described, and references are provided for situations where the standardTwo-Factor design is not applicable.
Abstract: We review methods for conducting and analyzing measurement systems capability studies, focusing on the analysis of variance approach. These studies are designed experiments involving crossed and possibly nested factors. The analysis of variance is an attractive method for analyzing the results of these experiments because it permits efficient point and interval estimation of the variance components associated with the sources of variability in the experiment. In this paper we demonstrate computations for the standard two-factor design, describe aspects of designing the experiment, and provide references for situations where the standard two-factor design is not applicable.
227 citations
TL;DR: In this paper, the authors present a broad overview of generic methods for estimating the capability and designed expertise of a quality engineering system. But they focus on three categories of methods: basic methods, generic methods, and designed methods.
Abstract: (1993). GAUGE CAPABILITY AND DESIGNED EXPERIMENTS. PART I: BASIC METHODS. Quality Engineering: Vol. 6, No. 1, pp. 115-135.
192 citations
01 Jan 2005
TL;DR: 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.
181 citations
TL;DR: In this paper, experimental design models for the classical gauge repeatability and reproducibility study are discussed, both factorial and nested models are considered, and the conditions under which each model is appropriate are described.
Abstract: This article discusses experimental design models for the classical gauge repeatability and reproducibility study. Both factorial and nested models are considered, and the conditions under which each model is appropriate are described. Point estimates a..
134 citations
TL;DR: Several methods have been proposed for constructing confidence intervals on measures of variability in a classical repeatability and reproducibility study as mentioned in this paper, and these methods are compared using computer simulation to determine if the intervals maintain the s..
Abstract: Several methods have been proposed for constructing confidence intervals on measures of variability in a classical repeatability and reproducibility study. These methods are compared using computer simulation to determine if the intervals maintain the s..
79 citations