Chapter 13. Multivariate and Multiscale Data Analysis
- Shirley Coleman Technical Director2,
- Tony Greenfield3,
- Dave Stewardson2,
- Douglas C. Montgomery4
Published Online: 3 MAR 2008
DOI: 10.1002/9780470997482.ch13
Copyright © 2008 John Wiley & Sons, Ltd
Book Title

Statistical Practice in Business and Industry
Additional Information
How to Cite
Reis, M. P. S. d. and Saraiva, P. M. (2008) Multivariate and Multiscale Data 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.ch13
Editor Information
- 2
Industrial Statistics Research Unit, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
- 3
Greenfield Research, Little Hucklow, Buxton SK17 8RT, UK
- 4
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:
- safety operation and environmental awareness;
- multivariate and multiscale data analysis;
- exploratory data analysis (EDA);
- multiscale data analysis;
- continuous wavelet transform;
- signal and image denoising;
- on-line multiscale rectification;
- wavelet transformation with scalar quantisation;
- multiscale principle component analysis (MSPCA);
- maximum likelihood principal components regression (MLPCR)
Summary
This chapter contains sections titled:
Introduction
Multivariate and megavariate data analysis
Multiscale data analysis
Conclusions and some current trends
References
Appendix 13A A short introduction to PCR and PLS
