Design and analysis of gauge R & R studies : making decisions with confidence intervals in random and mixed ANOVA models
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, and because it contains detailed examples of all computations, practitioners will be able to easily apply the methods. 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
eBook, English, ©2005
Society for Industrial Applied Mathematics ; American Statistical Association, Philadelphia, Pa., Alexandria, Va., ©2005
1 online resource (xviii, 201 pages) : illustrations
9780898715880, 9780898718379, 0898715881, 0898718376
693904076
Preface
Chapter 1: Introduction
Chapter 2: Balanced One-Factor Random Models
Chapter 3: Balanced Two-Factor Crossed Random Models with Interaction
Chapter 4: Design of Gauge R & R Experiments
Chapter 5: Balanced Two-Factor Crossed Random Models with No Interaction
Chapter 6: Balanced Two-Factor Crossed Mixed Models
Chapter 7: Unbalanced One- and Two-Factor Models
Chapter 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