Design and Analysis of Gauge R and R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models

Richard K. Burdick (Arizona State University),Connie M. Borror (University of Illinois, Urbana-Champaign),Douglas C. Montgomery (Arizona State University)

Design and Analysis of Gauge R and R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models
Format
Paperback
Publisher
Society for Industrial & Applied Mathematics,U.S.
Country
United States
Published
1 January 1987
Pages
220
ISBN
9780898715880

Design and Analysis of Gauge R and R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models

Richard K. Burdick (Arizona State University),Connie M. Borror (University of Illinois, Urbana-Champaign),Douglas C. Montgomery (Arizona State University)

This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to determine if the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. This protocol is not currently available in other books or technical reports. In addition to providing a protocol for testing a measurement system, the book presents an up-to-date summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models. Thus, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model.

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