Multivariate Analysis books
Multivariate Analysis Books
By no means an exhaustive list! However, some of them are considered
to be classics in the field.
- Anderson, T. W. (1984).
An Introduction to Multivariate Statistical Analysis, (2nd ed.)
N.Y.: Wiley
- Bock, R. D. (1975).
Multivariate statistical methods in
behavioral research, N.Y.: McGraw Hill.
- Carroll, J. D., Green, P. E. & Chaturvedi, A. (1997).
Mathematical tools for applied multivariate analysis.
(2nd ed.) N.Y.: Academic Press
- Dillon, W. R., & Goldstein, M. (1984).
Multivariate analysis: Methods and applications.
N. Y.: Wiley.
- Flury, B. (1997).
A first course in multivariate statistics.
N.Y.: Springer
- Gifi, A. (1990).
Nonlinear Multivariate amalysis.
Chichester: Wiley
- Gnanadesikan, R. (1997).
Methods for statistical data analysis of
multivariate observations, (2nd ed.) N.Y.: Wiley.
- Kendall, M. G. (1980).
Multivariate analysis. (2nd ed.), London: Griffin
- Lebart, L., Morineau, A. & Warwick, K. M. (1984).
Multivariate descriptive statistical analysis.
N.Y.: Wiley
- Morrison, D. F. (1990).
Multivariate statistical
methods. (3rd ed.), N.Y.: McGraw Hill.
- Roy, S. N. (1957).
Some aspects of multivariate analysis.
N.Y.: Wiley
- Tatsuoka, M. M. (1988).
Multivariate analysis.
(2nd ed.) N.Y.: Wiley.
- Van de Geer, J. P. (1971).
Introduction to
multivariate analysis for the social sciences. San
Francisco: W. H. Freeman.