Confidence Intervals in a Gauge R&R Study with Fixed Operators

Abstract

The 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.

• Analysis of Variance
• Gauge Studies
• Measurement Systems Capability Analysis
• Variance Components

Additional information

Notes on contributors

Lorraine Daniels

Lorraine Daniels is a Doctoral Student in Industrial Engineering. She is a member of ASQ. Her email address is [email protected].

Richard K. Burdick

Dr. Burdick is a Professor of Statistics in the W. P. Carey School of Business. He is a Member of ASQ. His email address is [email protected].

Jorge Quiroz

Dr. Quiroz is a Principal Statistician at Wyeth Research. He is a member of ASQ. His email address is [email protected].