Multiway Data Analysis
  Entrance level
May 26-30, 2008  
 
 

Entrance level

Participants are expected to be familiar with linear regression and principal component analysis, and elementary concepts of matrix algebra like matrix addition and multiplication, inverse, rank, and eigenvectors.

Related literature

Ceulemans, E. & Kiers, H.A.L. (2006) Selecting among three-way principal component models of different types and complexities: A numerical convex hull based method. British Journal of Mathematical and Statistical Psychology, 59, 133-150.

Kiers, H.A.L. (1988) Comparison of 'anglo-saxon' and 'french' three-mode methods. Statistique et Analyse des Données, 13 (3), 14-32.

Kiers, H.A.L. (1991) Hierarchical relations among three-way methods. Psychometrika, 56, 449-470.

Kiers, H.A.L., & van Mechelen, I. (2001) Three-way component analysis: Principles and illustrative application. Psychological Methods, 6, 84-110.

Smilde, A.K. & Kiers, H.A.L. (1999) Multiway covariates regression models. Journal of Chemometrics, 13, 31-48.