Chapter 11. Measurement System Analysis
- Shirley Coleman Technical Director3,
- Tony Greenfield4,
- Dave Stewardson3,
- Douglas C. Montgomery5
Published Online: 3 MAR 2008
DOI: 10.1002/9780470997482.ch11
Copyright © 2008 John Wiley & Sons, Ltd
Book Title

Statistical Practice in Business and Industry
Additional Information
How to Cite
Barbato, G., Vicario, G. and Levi, R. (2008) Measurement System Analysis, in Statistical Practice in Business and Industry (eds S. Coleman, T. Greenfield, D. Stewardson and D. C. Montgomery), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470997482.ch11
Editor Information
- 3
Industrial Statistics Research Unit, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
- 4
Greenfield Research, Little Hucklow, Buxton SK17 8RT, UK
- 5
Regents' Professor of Industrial Engineering & Statistics, ASU Foundation Professor of Engineering, Department of Industrial Engineering Arizona State University Tempe, AZ 85287-5906, USA
Publication History
- Published Online: 3 MAR 2008
- Published Print: 7 MAR 2008
Book Series:
ISBN Information
Print ISBN: 9780470014974
Online ISBN: 9780470997482
- Summary
- Chapter
Keywords:
- measurement system analysis (MSA);
- ISO GUM revolution;
- resolution and uncertainty;
- repeatability and reproducibility;
- GUM and ‘type A’;
- procedure for uncertainty management (PUMA);
- exclusion principles - a guidance;
- MSA gauge capability study;
- analysis of variance (ANOVA);
- linear regression estimation
Summary
This chapter contains sections titled:
Introduction
Historical background
Metrological background
Main characteristics of a measurement complex2
Measurement uncertainty evaluation according to GUM: Part I
Measurement system analysis method
Measurement uncertainty evaluation according to GUM: Part II
References
Appendix 11A Analysis of variance
Appendix 11B Linear relationships
