NPTEL : Applied Multivariate Statistical Modeling (Management)

Co-ordinators : Dr. J. Maiti


Lecture 1 - Introduction to multivariate statistical modeling

Lecture 2 - Introduction to multivariate statistical modeling (Continued...)

Lecture 3 - Univariate descriptive statistics

Lecture 4 - Sampling distribution

Lecture 5 - Estimation

Lecture 6 - Estimation (Continued...)

Lecture 7 - Hypothesis testing

Lecture 8 - Multivariate descriptive statistics

Lecture 9 - Multivariate descriptive statistics (Continued...)

Lecture 10 - Multivariate normal distribution

Lecture 11 - Multivariate normal distribution (Continued...)

Lecture 12 - Multivariate Inferential Statistics

Lecture 13 - Multivariate Inferential Statistics (Continued...)

Lecture 14 - ANOVA (Analysis of Varianace)

Lecture 15 - Analysis of Variance (Continued...)

Lecture 16 - Multivariate Analysis of Variance (MANOVA)

Lecture 17 - MANOVA (Continued...)

Lecture 18 - Tutorial - ANOVA

Lecture 19 - Tutorial ANOVA (Continued...)

Lecture 20 - MANOVA - Case Study

Lecture 21 - Multiple Regression – Introduction

Lecture 22 - MLR - Sampling distribution of regression coefficients

Lecture 23 - MLR - Model adequacy tests

Lecture 24 - MLR - Test of assumptions

Lecture 25 - MLR - Model diagnostics

Lecture 26 - MLR - Case Study

Lecture 27 - Multivariate Linear Regression

Lecture 28 - Multivariate Linear Regression - Estimation

Lecture 29 - Multivariate Linear Regression - Model Adequacy tests

Lecture 30 - Principal Component Analysis (PCA)

Lecture 31 - PCA - Model Adequacy & Interpretation

Lecture 32 - Regression Modeling using SPSS

Lecture 33 - Factor Analysis

Lecture 34 - Factor Analysis - Estimation & Model Adequacy testing

Lecture 35 - Factor Analysis - Model Adequacy, rotation, factor scores & case study

Lecture 36 - Cluster Analysis

Lecture 37 - Cluster Analysis (Continued...)

Lecture 38 - Introduction to Structural Equation Modeling (SEM)

Lecture 39 - SEM - Measurement Model

Lecture 40 - SEM - Structural Model

Lecture 41 - Correspondence Analysis

Lecture 42 - Correspondence Analysis (Continued...)