Applied Multivariate Analysis Video Lectures

Applied Multivariate Analysis
'Applied Multivariate Analysis' Video Lectures by Dr. Sharmishtha Mitra, Dr. Amit Mitra from IIT Kanpur
"Applied Multivariate Analysis" - Video Lectures
1. Prologue
2. Lecture-01 Basic concepts on multivariate distribution.
3. Lecture - 02 Basic concepts on multivariate distribution.
4. Lecture - 03 Multivariate normal distribution. – I
5. Lecture - 04 Multivariate normal distribution. – II
6. Lecture - 05 Multivariate normal distribution. – III
7. Lecture - 06 Some problems on multivariate distributions. – I
8. Lecture - 07 Some problems on multivariate distributions. – II
9. Lecture - 08 Random sampling from multivariate normal distribution and Wishart distribution. – I
10. Lecture - 09 Random sampling from multivariate normal distribution and Wishart distribution. – II
11. Lecture - 10 Random sampling from multivariate normal distribution and Wishart distribution. – III
12. Lecture - 11 Wishart distribution and it’s properties. –I
13. Lecture - 12 Wishart distribution and it’s properties.- II
14. Lecture -13 Hotelling’s T2 distribution and it’s applications.
15. Lecture - 14 Hotelling’s T2 distribution and various confidence intervals and regions.
16. Lecture- 15 Hotelling’s T2 distribution and Profile analysis.
17. Lecture - 16 Profile analysis.-I
18. Lecture - 17 Profile analysis. –II
19. Lecture - 18 MANOVA.-I
20. Lecture - 19 MANOVA.- II
21. Lecture - 20 MANOVA .- III
22. Lecture -21 MANOVA & Multiple Correlation Coefficient
23. Lecture -22 Multiple Correlation Coefficient
24. Lecture 23 Principal Component Analysis
25. Lecture -24 Principal Component Analysis
26. Lecture -25 Principal Component Analysis
27. Lecture -26 Cluster Analysis
28. Lecture -27 Cluster Analysis
29. Lecture -28 Cluster Analysis
30. Lecture -29 Cluster Analysis
31. Lecture -30 Discriminant Analysis and Classification
32. Lecture -31 Discriminant Analysis and Classification
33. Lecture -32 Discriminant Analysis and Classification
34. Lecture -33 Discriminant Analysis and Classification
35. Lecture -34 Discriminant Analysis and Classification
36. Lecture -35 Discriminant Analysis and Classification
37. Lecture -36 Discriminant Analysis and Classification
38. Lecture -37 Factor_Analysis
39. Lecture 38 Factor_Analysis
40. Lecture -39 Factor_Analysis
41. Lecture -40 Cannonical Correlation Analysis
42. Lecture -41 Cannonical Correlation Analysis
43. Lecture -42 Cannonical Correlation Analysis
44. Lecture -43 Cannonical Correlation Analysis
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