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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

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An ANOVA and MANOVA Overview Tutorial by The Doctoral Journey

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Introduction to One-Way Multivariate Analysis of Variance (One-Way MANOVA) by Dr. Todd Grande

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Book Title : Applied Multivariate Statistical Analysis
Author : Richard A. Johnson Dean W. Wichern
Edition : 6th
Publisher : Pearson Prentice Hall
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