Course Contents
Multivariate statistical procedures: Principal Component Analysis. Factor Analysis, MANOVA, Canonical Correlation Analysis and Discriminant.
Course Synopsis
Ability to handle multivariate data using data reduction techniques.
Course Learning Outcomes
On successful completion of the course the students will be able to
summarize and interpret multivariate data.
choose the appropriate technique considering the covariance structure among more than one variable.
1 MANOVA - An Introduction by Lee Rusty Waller
View Now
An ANOVA and MANOVA Overview Tutorial by The Doctoral Journey
View Now
Introduction to One-Way Multivariate Analysis of Variance (One-Way MANOVA) by Dr. Todd Grande
View Now
Book Title : Applied Multivariate Statistical Analysis
Author : Richard A. Johnson Dean W. Wichern
Edition : 6th
Publisher : Pearson Prentice Hall
View Now
No Information Yet