Learn · Applied Multivariate Analysis
Lecture 26 of 44Applied Multivariate Analysis
Lecture -25 Principal Component Analysis
Dr. Amit Mitra and Dr. Sharmishtha Mitra · IIT Kanpur
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- Applied Multivariate Analysis, IIT Kanpur (at NPTEL)
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All the lectures
- Prologue
- Lecture-01 Basic concepts on multivariate distribution.
- Lecture - 02 Basic concepts on multivariate distribution.
- Lecture - 03 Multivariate normal distribution. : I
- Lecture - 04 Multivariate normal distribution. : II
- Lecture - 05 Multivariate normal distribution. : III
- Lecture - 06 Some problems on multivariate distributions. : I
- Lecture - 07 Some problems on multivariate distributions. : II
- Lecture - 08 Random sampling from multivariate normal distribution and Wishart distribution. : I
- Lecture - 09 Random multivariate sampling from multivariate normal distribution and Wishart distribution. : II
- Lecture - 10 Random sampling from multivariate normal distribution and Wishart distribution. : III
- Lecture - 11 Wishart distribution and its properties. :I
- Lecture - 12 Wishart distribution and its properties.- II
- Lecture -13 Hotellings T2 distribution and its applications.
- Lecture - 14 Hotellings T2 distribution and various confidence intervals and regions.
- Lecture- 15 Hotellings T2 distribution and Profile analysis.
- Lecture - 16 Profile analysis.-I
- Lecture : 17 Profile analysis. :II
- Lecture - 18 MANOVA.-I
- Lecture - 19 MANOVA.- II
- Lecture - 20 MANOVA .- III
- Lecture -21 MANOVA & Multiple Correlation Coefficient
- Lecture -22 Multiple Correlation Coefficient
- Lecture 23 Principal Component Analysis
- Lecture -24 Principal Component Analysis
- Lecture -25 Principal Component Analysis
- Lecture -26 Cluster Analysis
- Lecture -27 Cluster Analysis
- Lecture -28 Cluster Analysis
- Lecture -29 Cluster Analysis
- Lecture -30 Discriminant Analysis and Classification
- 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 Factor_Analysis
- Lecture 38 Factor_Analysis
- Lecture -39 Factor_Analysis
- Lecture -40 Cannonical Correlation Analysis
- Lecture -41 Cannonical Correlation Analysis
- Lecture -42 Cannonical Correlation Analysis
- Lecture -43 Cannonical Correlation Analysis