A Course in Multivariate Analysis
16 videos • 155 views • by Kevin S. McCarter, Ph.D.
1
Module 1 - Lecture 1 - Overview of Multivariate Statistical Methods
Kevin S. McCarter, Ph.D.
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2
Useful Results from Distribution Theory
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3
Univariate, Bivariate, and Multivariate Normal Distributions
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4
Estimating the Parameters of the Univariate and Multivariate Normal Distribution
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5
Module 2 - Lecture 3 - Correlation Analysis
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6
Module 3 - Lecture 1 - Characteristic Roots and Characteristic Vectors
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7
Module 4 - Lecture 1 - Principal Component Analysis - Overview, Definitions, and General Concepts
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8
Module 4 - Lecture 2 - Calculating Principal Components - Examples
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9
Module 4 - Lecture 3 - Performing Principal Component Analysis Using SAS Software
Kevin S. McCarter, Ph.D.
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10
Module 4 - Lecture 4 - Correlations Between the Principal Components and the Original Variables
Kevin S. McCarter, Ph.D.
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11
Module 4 - Lecture 5 - Principal Component Analysis Using SAS Enterprise Guide - Example
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12
Module 4 - Lecture 6 - Likelihood Ratio Test of the Null Hyp. that the Covariance Matrix is Diagonal
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13
Module 4 - Lecture 7 - Application of the Likelihood Ratio Test to Bumpus' Sparrow Data
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14
Module 4 - Lecture 8 - Checking for Outliers in the Outlier Dataset
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15
Module 5 - Lecture 1- Multivariate Analysis of Variance - Hypotheses and Assumptions
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16
Module 5 - Lecture 2 - MANOVA Example - Bumpus' Sparrow Data
Kevin S. McCarter, Ph.D.
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