# 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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