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Multivariate Statistics

Intro Page
Data Analysis-Data Mining
Mathematical Statistics
Statistical Theory
Stochastic Processes and Probability Theory
Linear Regression Analysis and Analysis of Variance
GLM's and Applied Statistical Methodology
Multivariate Statistics
Bayesian Statistics
Non-Parametric Statistics
Computational Statistics, Simulation
Time Series Analysis
Statistical Qualit y Control
Robust Statistics
Longitudinal Data Analysis
Medical Statistics
Statistics of the Environment/ Ecology
Econometrics
Social Statistics
Astrostatistics
Statistical PACKAGES
**GET your DATA ANALYZED**
Statistical Applets and Calculators
Other
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General

Applied Multivariate Statistical Analysis by Richard Johnson and Dean Wichern -794 pages-

Lecture notes on Multivariate Data Analysis by Nick Fieller -447 pages-

Multivariate Analysis (Statistical Inference for Astronomers), by T.Krishnan -60 pages-

Multivariate Statistical Analysis by Philip B. Ender (on-line lecture notes)

A Combinatorial Introduction to Cluster Analysis by Melvin F. Janowitz -46 pages-

A Course in Multivariate Analysis by Howard G. Tucker -130 pages-

A Tutorial on Multivariate Statistical Analysis by Craig A. Tracy -46 slides-

Factor Analysis

Lecture notes on Factor Analysis I by Elizabeth Garrett-Mayer -56 pages-

Lecture notes on Factor Analysis II by Elizabeth Garrett-Mayer -21 pages-

Factor Analysis by Peter Tryfos -22 pages-

Underatanding Factor Analysis by R.J. Rummel -on-line textbook-

Principal Component Analysis

Principal component analysis by SAS - 56 pages -

Principal component analysis by Herve Abdi and Lynne J. Williams - 27 pages -

Tutorial on Principal Compontent Analysis by Javier R. Movellan -9 pages-

Principal Component Analysis by George Bebis -8 pages-

Principal Component Analysis by Peter Tino -17 pages-

A tutorial on Pricipal Component Analysis by Lindsay I. Smith -27 pages-

Discriminant Analysis

Discriminant Analysis by Daniel Peña Sánchez de Rivera -34 pages-

Linear Discriminant Analysis - A Brief Tutorial by S. Balakrishnama and A. Ganapathiraju -9 pages-

Regularised Discriminant Analysis by Jerome H. Friedman -32 pages-

Regularised Discriminant Analysis and Reduced-Rank LDA by Jia Li -34 pages-

Semi-Supervised Discriminant Analysis by Dit-Yan Yeung -76 slides-

Discriminant analysis by Janette Walde - 30 slides -

Discrimination and Classification by Kritikou Katerina, Nikaki Katerina and Nikolaidou Chrysa -47 slides in Greek-

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