Design and Analysis of Gauge R and R Studies
Design and Analysis of Gauge R and R Studies
Connie M. Borror, University of Illinois, Urbana-Champaign
Douglas C. Montgomery, Arizona State University
AUD$150.00
inc GSTThis 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.
Reviews & endorsements
'The authors have done an excellent job of providing practitioners with an up-to-date reference for constructing confidence intervals for a class of mixed models with application to gauge R&R studies.' José G. RamÃrez, W.L. Gore & Associates, Inc.
'A pattern of presentation is established in early chapters and consistently used throughout the book. The notation is also unified throughout the book, which is a major contribution.' Greg Larsen, Agilent Technologies
Product details
January 2005Paperback
9780898715880
220 pages
253 × 177 × 11 mm
0.402kg
This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
- Preface
- 1. Introduction
- 2. Balanced One-Factor Random Models
- 3. Balanced Two-Factor Crossed Random Models with Interaction
- 4. Design of Gauge R&R Experiments
- 5. Balanced Two-Factor Crossed Random Models with No Interaction
- 6. Balanced Two-Factor Crossed Mixed Models
- 7. Unbalanced One- and Two-Factor Models
- 8. Strategies for Constructing Intervals with ANOVA Models
- Appendix A. The Analysis of Variance
- Appendix B. MLS and GCI Methods
- Appendix C. Tables of F-values
- Bibliography
- Index.
