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