Useful Links
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
  1. 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
  1. The Multivariate Normal Distribution
    1. Bivariate Normal Distribution
      1. Joint Density Function
        1. Marginal Distributions
          1. Conditional Distributions
            1. Correlation Parameter
              1. Geometric Properties
              2. Multivariate Normal Density Function
                1. General Formulation
                  1. Parameters
                    1. Mean Vector
                      1. Covariance Matrix
                      2. Standardized Form
                      3. Properties of Multivariate Normal Distribution
                        1. Linear Combinations
                          1. Marginal Distributions
                            1. Conditional Distributions
                              1. Independence and Correlation
                                1. Quadratic Forms
                                2. Sampling from Multivariate Normal Distribution
                                  1. Random Vector Generation
                                    1. Simulation Methods
                                    2. Assessing Multivariate Normality
                                      1. Univariate Normality Assessment
                                        1. Histograms
                                          1. Q-Q Plots
                                            1. Shapiro-Wilk Test
                                            2. Bivariate Assessment
                                              1. Scatter Plots
                                                1. Elliptical Patterns
                                                2. Multivariate Normality Tests
                                                  1. Mardia's Test
                                                    1. Henze-Zirkler Test
                                                      1. Royston's Test
                                                        1. Energy Test
                                                      2. Transformations to Achieve Normality
                                                        1. Logarithmic Transformation
                                                          1. Box-Cox Transformation
                                                            1. Yeo-Johnson Transformation
                                                              1. Rank-Based Transformations

                                                            Previous

                                                            2. Foundations in Matrix Algebra and Random Vectors

                                                            Go to top

                                                            Next

                                                            4. Data Preparation and Exploration

                                                            © 2025 Useful Links. All rights reserved.

                                                            About•Bluesky•X.com