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Design and Analysis of Gauge R and R Studies

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


Part of ASA-SIAM Series on Statistics and Applied Probability

  • Date Published: January 2005
  • availability: Available in limited markets only
  • format: Paperback
  • isbn: 9780898715880

£ 52.00

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About the Authors
  • 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.

    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. Ramírez, 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

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    Product details

    • Date Published: January 2005
    • format: Paperback
    • isbn: 9780898715880
    • length: 220 pages
    • dimensions: 253 x 177 x 11 mm
    • weight: 0.402kg
    • availability: Available in limited markets only
  • Table of Contents

    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

  • Authors

    Richard K. Burdick, Arizona State University

    Connie M. Borror, University of Illinois, Urbana-Champaign

    Douglas C. Montgomery, Arizona State University

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