Design and Analysis of Gauge R&R Studies

Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models

Richard K. Burdick, Connie M. Borror, Douglas C. Montgomery

202 pages, parution le 18/07/2005

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Résumé

This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments, which are required whenever a new test system is developed to monitor a manufacturing process. This protocol-not currently available in other books or technical reports-is used to determine whether the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision.

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, and because it contains detailed examples of all computations, practitioners will be able to apply the methods easily. The book describes methods for constructing two types of confidence intervals: modified large-sample (MLS) and generalized confidence intervals.

Computer codes written in SAS and Excel are provided to perform the computations. Appendices are included for readers who are unfamiliar with confidence intervals or lack a basic understanding of random and mixed ANOVA models.

Design and Analysis of Gauge R&R Studies: Making Decisions with Confidence Intervals in Random and Mixed ANOVA Models is directed at two audiences: engineers who conduct gauge R&R studies as part of a measurement systems analysis, and investigators who use ANOVA methods in their research.

L'auteur - Richard K. Burdick

Richard K. Burdick is Professor of Statistics in the W. P. Carey School of Business at Arizona State University, Tempe. He is the author or coauthor of three books and more than 50 journal articles on statistical methods. He is a Fellow of the American Statistical Association and a member of the American Society of Quality.

L'auteur - Connie M. Borror

Connie M. Borror is Assistant Professor of Engineering in the Department of General Engineering at the University of Illinois at Urbana-Champaign. She is the author or coauthor of over 35 journal articles. She is a Senior Member of the American Society of Quality.

L'auteur - Douglas C. Montgomery

Douglas C. Montgomery is the ASU Foundation Professor of Engineering at Arizona State University, Tempe. He is the author of 13 books and over 160 technical papers. He is a Fellow of the American Statistical Association and the American Society of Quality.

Sommaire

List of Figures
List of Tables
Preface
Introduction
Balanced One-Factor Random Models
Balanced Two-Factor Crossed Random Models with Interaction
Design of Gauge R&R Experiments
Balanced Two-Factor Crossed Random Models with No Interaction
Balanced Two-Factor Crossed Mixed Models
Unbalanced One- and Two-Factor Models
Strategies for Constructing Intervals with ANOVA Models
A: The Analysis of Variance
B: MLS and GCI Methods
C: Tables of F-Values
Bibliography
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Asa Siam
Auteur(s)	Richard K. Burdick, Connie M. Borror, Douglas C. Montgomery
Parution	18/07/2005
Nb. de pages	202
Format	17,5 x 25,5
Couverture	Broché
Poids	407g
Intérieur	Noir et Blanc
EAN13	9780898715880
ISBN13	978-0-89871-588-0