Ed231A
Multivariate Analysis
Lecture Notes
Introduction
Matrix Algebra
Vector Operations
Vector Operations in Mata
Vector Operations in Stata
Vector Operations in Octave
Vector Operations in SAS IML
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
What is an SSCP Matrix?
The Seven Basic Matrices of Multivariate Analysis
Computing the Deviation SSCP
Matrix Magic
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
Factor Analysis
More 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