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.

Format:

Book

Author/Creator:

Burdick, Richard K.

Contributor:

Borror, Connie M.

Montgomery, Douglas C.

Books24x7, Inc.

Series:

ASA-SIAM series on statistics and applied probability ; 17.

ASA-SIAM series on statistics and applied probability

ASA-SIAM series on statistics and applied probability ; 17

Language:

English

Subjects (All):

Confidence intervals.

Analysis of variance.

Experimental design.

Physical Description:

1 electronic text (xviii, 201 p.) : ill., digital file.

Place of Publication:

Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2005.

Language Note:

English

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Summary:

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.

Contents:

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.

Notes:

Title from title screen.

Includes bibliographical references (p. 193-197) and index.

Digitized and made available by: Books24x7.com.

Title from title screen, viewed 10/20/2010.

Description based on title page of print version.

ISBN:

0-89871-837-6

Publisher Number:

SA17 siam

SA17 SIAM