Journal of Quality Technology · 2005 · 18 citations · 6 references
EngineeringIndustrial EngineeringSystems EngineeringExperimental DesignQuality EngineeringStatisticsConfidence IntervalsInferential StatisticsMeasurement UncertaintyReliabilityStatistical InferenceUncertainty AnalysisConfidence Interval ConstructionConfidence Interval EstimationConfidence Interval EvaluationConfidence Interval MethodologyConfidence Intervals For VariancesOperators
AbstractThe objective of this paper is to develop a method for constructing confidence intervals in a two-factor gauge repeatability and reproducibility (R&R) study with fixed operators. A previously proposed method is compared with a generalized confidence interval method using computer simulation. Simulation results suggest that, although the two methods are comparable in most cases, there are situations where the generalized confidence interval is a better choice.KeywordsAnalysis of VarianceGauge StudiesMeasurement Systems Capability AnalysisVariance Components Additional informationNotes on contributorsLorraine DanielsLorraine Daniels is a Doctoral Student in Industrial Engineering. She is a member of ASQ. Her email address is lorraine.daniels@cox.net.Richard K. BurdickDr. Burdick is a Professor of Statistics in the W. P. Carey School of Business. He is a Member of ASQ. His email address is richard.burdick@asu.edu.Jorge QuirozDr. Quiroz is a Principal Statistician at Wyeth Research. He is a member of ASQ. His email address is quirozj@wyeth.com.
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Journal of the American Statistical Association
Robert Fildes · International Journal of Forecasting · 1989 · 3.7K citations