Multivariate Analysis
Lecture Notes
Introduction
Matrix Algebra
Vector Operations
Vector Operations in Mata
Vector Operations in Stata
Vector Operations in Octave
Vector Operations in R
Matrix Operations
Matrix Operations in Mata
Matrix Operations in Stata
Matrix Operations in Octave
Matrix Operations in SAS IML
Matrix Operations in R
Matrix Operations in SPSS
What is an SSCP Matrix?
The Seven Basic Matrices of Multivariate Analysis
Mean Vectors and Matrices
Computing the Deviation SSCP
Matrix Tricks
The Multivariate Normal Distribution
Regression Analysis
Regression Analysis I
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Simple Regression
Regression Analysis II
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Multiple Regression
Regression Analysis III
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Matrix Formulation
Matrix Regression Revealed
Multivariate Multiple Regression
Probit Analysis
Univariate Probit Models
Bivariate Probit Models
Multivariate Probit Models
Hypothesis Testing: 1 & 2 Groups
Hypothesis Testing: k-Groups
Profile Analysis
Hypothesis Testing: Equality of Covariance Matrices
More on Matrices
Matrix Operations II
Matrix Operations III
Discriminant Analysis
Classification of Observations
Canonical Correlation Analysis
The Big Picture
Multivariate Data: The Long and the Wide of It
Factorial Multivariate Analysis of Variance
Variations in the Key of F
General Linear Model
Principal Components and Factor Analysis Models
Principal Components Analysis
More Principal Components
Exploratory Factor Analysis
More Exploratory Factor Analysis
Q Factor Analysis
Linear Structural Models
Cluster Analysis
Hierarchical Cluster Analysis
Partition Cluster Analysis
Multidimensional Scaling
Correspondence Analysis
Latent Class and Mixture Models
Multivariate Analysis
Phil Ender