Supplementary readings

The course material is constantly being updated from a variety of books, journal articles, newspaper articles, contributions from others to this wiki, and the author's own experiences with data analysis and consulting. The following printed materials have influenced the course content.

Books

In alphabetical order:

Author(s)	Title	Library link	Other libraries	Buy the book
Box, Hunter and Hunter	Statistics for Experimenters: Design, Innovation, and Discovery (2nd edition)	McMaster (reserve)	Loan	Buy
Brereton	Chemometrics - Data analysis for the Laboratory and Chemical Plant	McMaster	Loan	Buy
Carroll, Green, and Chaturvedi	Mathematical Tools for Applied Multivariate Analysis	McMaster	Loan	Buy
Ericsson, Johansson, Kettaneth-Wold, Trygg, Wikström, Wold	Multivariate and Megavariate Data Analysis (Parts I and II)	McMaster	Loan	Buy
Few	Show Me the Numbers	McMaster	Loan	Buy
Jackson	A User's Guide to Principal Components	McMaster	Loan	Buy
MacGregor	Course notes for ChE765
Martens and Naes	Multivariate Calibration	McMaster	Loan	Buy

Journal publications

McMaster students should be able to access all these publications from a campus IP number

• Kenneth R. Beebe and Bruce R. Kowalski: "An Introduction to Multivariate Calibration and Analysis", Analytical Chemistry, 59(17), l007a-1017a, 1987.

• N. Bratchell: "Multivariate Response Surface Modelling by Principal Components Analysis", Journal of Chemometrics, 3, 579-588, 1989.

• Paul Geladi, Bruce R. Kowalski: "Partial least squares regression: A tutorial", Analytica Chimica Acta, 185, 1-17, 1986.

• A. Höskuldsson: "PLS Regression Methods", Journal of Chemometrics, 2, 211-228, 1988.

• James V. Kresta, John F. MacGregor, Thomas E. Marlin: "Multivariate Statistical Monitoring of Process Operating Performance", Canadian Journal of Chemical Engineering, 69, 35-47, 1991.

• Olav M. Kvalheim: "Latent-Structure Decompositions (Projections) of Multivariate Data", Chemometrics and Intelligent Laboratory Systems, 2, 283-290, 1987.

• Olav M. Kvalheim, Terje V. Karstang: "Interpretation of Latent-Variable Regression Models", Chemometrics and Intelligent Laboratory Systems, 7, 39-51, 1989.

• Svante Wold: "Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models", Technometrics, 20(4), 397-405, 1978.

• Svante Wold, Kim Esbensen, Paul Geladi: "Principal component analysis", Chemometrics and Intelligent Laboratory Systems, 2, 37-52, 1987.

• Svante Wold, Paul Geladi, Kim Esbensen, Jerker Öhman: "Multi-Way Principal Components- and PLS-Analysis", Journal of Chemometrics, 1, 41-56, 1987.

• Svante Wold, Michael Sjöström, Lennart Eriksson: "PLS-regression: a basic tool of chemometrics", Chemometrics and Intelligent Laboratory Systems, 58, 109-130, 2001.

• John MacGregor, Honglu Yu, Salvador García-Muñoz, Jesus Flores-Cerrillo: "Data-based latent variable methods for process analysis, monitoring and control". Computers and Chemical Engineering, 29, 1217-1223, 2005.

• John MacGregor and Theodora Kourti: "Statistical process control of multivariate processes", Control Engineering Practice, 3, 403-414, 1995.

• James V. Kresta, Thomas E. Marlin, and John F. MacGregor: "Development of inferential process models using PLS". Computers and Chemical Engineering, 18, 597-611, 1994.

• Ivan Miletic, Shannon Quinn, Michael Dudzic, Vit Vaculik and Marc Champagne: "An industrial perspective on implementing on-line applications of multivariate statistics", Journal of Process Control, 14, 821-836, 2004.

• Svante Wold, Nouna Kettaneh-Wold, John F. MacGregor, Kevin G. Dunn: "Batch process modeling and MSPC". Comprehensive Chemometrics, 2, 163-197, 2009. McMaster campus link.

• Manish Bharati, and John F. MacGregor: "Multivariate image analysis for real time process monitoring and control", Industrial and Engineering Chemistry Research, 37, 4715-4724, 1998.

Conference proceedings

• S. Wold, S. Hellberg, T. Lundstedt, M. Sjostrom,1987, "PLS Modeling with Latent Variables in Two or More Dimensions", paper for the Frankfurt PLS-meeting, September 1987,

Theses

• Many interesting theses with applications of multivariate methods from http://www.models.kvl.dk/theses