Multivariate Analysis
Joint Density Function
Marginal Distributions
Conditional Distributions
Correlation Parameter
Geometric Properties
Mean Vector
Covariance Matrix
Linear Combinations
Independence and Correlation
Quadratic Forms
Random Vector Generation
Simulation Methods
Histograms
Q-Q Plots
Shapiro-Wilk Test
Scatter Plots
Elliptical Patterns
Mardia's Test
Henze-Zirkler Test
Royston's Test
Energy Test
Logarithmic Transformation
Box-Cox Transformation
Yeo-Johnson Transformation
Rank-Based Transformations
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2. Foundations in Matrix Algebra and Random Vectors
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4. Data Preparation and Exploration