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Statistics
Multivariate Analysis
1. Introduction to Multivariate Analysis
2. Foundations in Matrix Algebra and Random Vectors
3. The Multivariate Normal Distribution
4. Data Preparation and Exploration
5. Principal Component Analysis
6. Factor Analysis
7. Multiple Linear Regression
8. Multivariate Analysis of Variance
9. Discriminant Analysis
10. Logistic Regression
11. Cluster Analysis
12. Canonical Correlation Analysis
13. Multidimensional Scaling
14. Advanced Multivariate Methods
Multidimensional Scaling
MDS Objectives
Spatial Representation
Similarity Visualization
Perceptual Mapping
Dimensionality Reduction
Input Data Types
Similarity Data
Dissimilarity Data
Distance Matrices
Proximity Measures
Types of MDS
Classical MDS (Metric)
Euclidean Distance Model
Principal Coordinates Analysis
Non-Metric MDS
Ordinal Data Handling
Monotonic Transformation
Classical MDS Procedure
Distance Matrix Analysis
Double Centering
Eigenvalue Decomposition
Coordinate Extraction
Non-Metric MDS Procedure
Stress Function
Iterative Optimization
Kruskal's Algorithm
Shepard Diagram
Determining Dimensionality
Stress Values
Scree Plot
Interpretability
Elbow Criterion
MDS Solution Interpretation
Spatial Configuration
Dimension Interpretation
Cluster Identification
Goodness-of-Fit Assessment
Stress Measures
R-Squared
Shepard Diagram Analysis
MDS Variants
Individual Differences Scaling (INDSCAL)
Weighted MDS
Unfolding Models
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12. Canonical Correlation Analysis
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14. Advanced Multivariate Methods