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ANOVA gauge repeatability and reproducibility is a measurement systems analysis technique that uses an analysis of variance (ANOVA) random effects model to assess a measurement system. The evaluation of a measurement system is not limited to gauge but to all types of measuring instruments , test methods , and other measurement systems.
Common tools and techniques of measurement system analysis include: calibration studies, fixed effect ANOVA, components of variance, attribute gage study, gage R&R, [1] ANOVA gage R&R, and destructive testing analysis. The tool selected is usually determined by characteristics of the measurement system itself.
It is also commonly used in fields such as engineering or physics when doing quality assurance studies and ANOVA gauge R&R, [citation needed] by economists and investors in economic models, and in psychology/neuroscience.
ANOVA gauge R&R; ANOVA on ranks; ANOVA–simultaneous component analysis; Arellano–Bond estimator; Association scheme; B. Bartlett's test; Between-group design ...
They are (1) a Stability Ratio which compares the long-term variability to the short-term variability, (2) an ANOVA Test which compares the within-subgroup variation to the between-subgroup variation, and (3) an Instability Ratio which compares the number of subgroups that have one or more violations of the Western Electric rules to the total ...
Reproducibility, closely related to replicability and repeatability, is a major principle underpinning the scientific method.For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.
In statistics, one-way analysis of variance (or one-way ANOVA) is a technique to compare whether two or more samples' means are significantly different (using the F distribution). This analysis of variance technique requires a numeric response variable "Y" and a single explanatory variable "X", hence "one-way".
Design and Analysis of Gauge R&R Studies (with Richard K. Burdick and Douglas C. Montgomory, SIAM and ASA, 2005) [7] Probability and Statistics in Engineering (with William W. Hines, Douglas C. Montgomery, and David M. Goldsman, 2003) She was also the editor of The Certified Quality Engineer Handbook (3rd ed., American Society for Quality, 2009).