Multivariate Analysis
Group Classification
Group Separation
Dimension Reduction
Descriptive Discriminant Analysis
Predictive Discriminant Analysis
Two-Group Analysis
Multiple-Group Analysis
Linear Discriminant Function
Quadratic Discriminant Function
Fisher's Linear Discriminant
Multivariate Normality
Equal Covariance Matrices
Independence of Observations
Linear Relationships
Discriminant Function Derivation
Group Centroids
Classification Rule
Cutting Score Determination
Number of Discriminant Functions
Canonical Discriminant Functions
Eigenvalue Problem
Successive Extraction
Standardized Discriminant Coefficients
Structure Matrix
Territorial Map
Classification Functions
Posterior Probabilities
Prior Probabilities
Classification Rules
Leave-One-Out
Holdout Method
Variable Selection Criteria
Forward Selection
Backward Elimination
Previous
8. Multivariate Analysis of Variance
Go to top
Next
10. Logistic Regression