Lecture 1 - Prologue
Lecture 2 - Basic concepts on multivariate distribution
Lecture 3 - Basic concepts on multivariate distribution
Lecture 4 - Multivariate normal distribution – I
Lecture 5 - Multivariate normal distribution – II
Lecture 6 - Multivariate normal distribution – III
Lecture 7 - Some problems on multivariate distributions – I
Lecture 8 - Some problems on multivariate distributions – II
Lecture 9 - Random sampling from multivariate normal distribution and Wishart distribution - I
Lecture 10 - Random sampling from multivariate normal distribution and Wishart distribution - II
Lecture 11 - Random sampling from multivariate normal distribution and Wishart distribution - III
Lecture 12 - Wishart distribution and it’s properties - I
Lecture 13 - Wishart distribution and it’s properties - II
Lecture 14 - Hotelling’s T2 distribution and it’s applications
Lecture 15 - Hotelling’s T2 distribution and various confidence intervals and regions
Lecture 16 - Hotelling’s T2 distribution and Profile analysis
Lecture 17 - Profile analysis - I
Lecture 18 - Profile analysis - II
Lecture 19 - MANOVA - I
Lecture 20 - MANOVA - II
Lecture 21 - MANOVA - III
Lecture 22 - MANOVA & Multiple Correlation Coefficient
Lecture 23 - Multiple Correlation Coefficient
Lecture 24 - Principal Component Analysis
Lecture 25 - Principal Component Analysis
Lecture 26 - Principal Component Analysis
Lecture 27 - Cluster Analysis
Lecture 28 - Cluster Analysis
Lecture 29 - Cluster Analysis
Lecture 30 - Cluster Analysis
Lecture 31 - Discriminant Analysis and Classification
Lecture 32 - Discriminant Analysis and Classification
Lecture 33 - Discriminant Analysis and Classification
Lecture 34 - Discriminant Analysis and Classification
Lecture 35 - Discriminant Analysis and Classification
Lecture 36 - Discriminant Analysis and Classification
Lecture 37 - Discriminant Analysis and Classification
Lecture 38 - Factor_Analysis
Lecture 39 - Factor_Analysis
Lecture 40 - Factor_Analysis
Lecture 41 - Cannonical Correlation Analysis
Lecture 42 - Cannonical Correlation Analysis
Lecture 43 - Cannonical Correlation Analysis
Lecture 44 - Cannonical Correlation Analysis
