Statistics 501 Lectures

Spring 2013


Statistics 501 Home Page

Date Posted Lecture Slides
January 15
Introduction
January 17
Review of Vectors and Matrices
January 22
Visualization of Multivariate Data
January 24
The Multivariate Normal Distribution - I
January 31
The Multivariate Normal Distribution - II
February 5
The Multivariate Normal Distribution - III
February 7
Assessing Multivariate Normality
February 12
Inference for Means -- The Hotelling's Test
February 12
Inference for Means -- Confidence Regions
February 14
Inference for Means -- Repeated Measures
February 14
Inference for Means of Two Samples
February 26
Multivariate Analysis of Variance -- I
February 26
Multivariate Analysis of Variance -- II
February 28
Multivariate Analysis of Variance -- III
March 7
Multivariate Multiple Linear Regression
March 7
Principal Components -- I
March 7
Principal Components -- II
March 28
Discriminant Analysis - I
March 28
Discriminant Analysis - II
April 2
k-Nearest Neighbor Classification
April 2
Classification and Regression Trees
April 23
Cluster Analysis
April 23
Model-based Clustering
April 30
Correspondence Analysis
April 30
Factor Analysis