This volume contains a rich variety of papers from different areas of multivariate statistics, which were presented at the Sixth Tartu Conference on Multivariate Statistics, held in Tartu, Estonia, August 2000. The areas covered include theoretical aspects such as: dependence structure between random variables; new conceptual model for sampling theory; matrix methods in statistics: experimental design; extended linear models; discriminant analysis; growth curve models; and Buckley-James estimators in regression analysis. The book also contains contributions with applications from data analysis such as: data compression; application of multivariate statistics when determining the poverty line; and methods of econometric modelling. This volume should be of value and interest to anyone working in the field of modern multivariate statistics.