Chapter 13. Multivariate and Multiscale Data Analysis

  1. Shirley Coleman Technical Director2,
  2. Tony Greenfield3,
  3. Dave Stewardson2 and
  4. Douglas C. Montgomery4
  1. Marco P. Seabra dos Reis and
  2. Pedro M. Saraiva

Published Online: 3 MAR 2008

DOI: 10.1002/9780470997482.ch13

Statistical Practice in Business and Industry

Statistical Practice in Business and Industry

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

  1. 2

    Industrial Statistics Research Unit, Newcastle University, Newcastle upon Tyne NE1 7RU, UK

  2. 3

    Greenfield Research, Little Hucklow, Buxton SK17 8RT, UK

  3. 4

    Regents' Professor of Industrial Engineering & Statistics, ASU Foundation Professor of Engineering, Department of Industrial Engineering Arizona State University Tempe, AZ 85287-5906, USA

Author Information

  1. Chemical Engineering Department, University of Coimbra, Polo II, Rua Sílvio Lima, 3030-790 Coimbra, Portugal

Publication History

  1. Published Online: 3 MAR 2008
  2. Published Print: 7 MAR 2008

ISBN Information

Print ISBN: 9780470014974

Online ISBN: 9780470997482



  • 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)


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