Applied Multivariate Analysis GZYMC2VSVE

URI	`m2://res/GZYMC2VSVE`
Kind	course
Creators	Amit Mitra (instructor), Sharmishtha Mitra (instructor)
Date	2013-04-22
Scope	in
Ids	course 05pjsgx75:111104024

Expressions

e1: edition

Language	en
Date	2013-04-22

m1: page, IIT Kanpur (record). nptel 111104024
m2: page, 2013-04-22 (record). nptel 111104024

Contents

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

Catalogue records

nptel: 111104024 (manifestation)
nptel_video: 111104024 (manifestation)