작성일
2016.02.29
수정일
2023.04.11
작성자
최용석
조회수
2096

Lecture 1. Multivariate Data Analysis (MDA)

1.1. Multivariate data analysis

1.2 Types of multivariate analysis techniques

1.3 Introduction and visualization of multivariate data

1.4 Matrix representation and descriptive statistics of multivariate data

1.5 Distances and Correlation of multivariate data

1.6 Multivariate normal distribution and its useful property

1.7 Wishart distand Hotelling’s   T2-dist 

1.8 Test of multivariate normality

1.9 R for EDA : Practice Time

 

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