Canadian Forest Service links

A Practical Guide to the Use of Selected Multivariate Statistics

This document is set up to allow the user of multivariate statistics to get assistance in the choice of multivariate technique to use and the state the data must be in to use the desired technique. A series of links enable the user to view areas of interest in relation to multivariate statistical theory, use, and application.

Mike Wulder
Research Scientist
Canadian Forest Service
Pacific Forestry Centre
506 West Burnside Road
Victoria, BC V8Z 1M5
Canada

Main Index:

• Introduction to this Document
• Summary of Multivariate Statistics
• Data Screening
• Multiple Correlation and Regression
• Principal Components Analysis and Factor Analysis
• Discriminant Analysis
• Cluster Analysis
• Spatial Autocorrelation

Complete List of Links:

• Census Data File
• Cluster Analysis
• Correlation Coefficient, Regression Coefficient, and Adjusted  R-Squared
• Discriminant Analysis
• Homoscedasticity
• Summary to Multivariate Statistics
• Introduction to Document
• Linearity
• Multivariate General Linear Hypothesis
• Missing Data
• Multicollinearity and Singularity
• Multivariate Normality and Normality
• Orthogonality
• Outliers
• Principle Components Analysis and Factor Analysis
• References and Suggested Authors List
• Regression: Multiple Correlation and Multiple Regression
• Residual Plots and Residuals
• Screening Data Guide
• Spatial Autocorrelation
• Transformations