NOC:Applied Multivariate Statistical Modeling


Lecture 1 - Introduction to multivariate statistical modeling - Part-I


Lecture 2 - Introduction to multivariate statistical modeling - Part-II


Lecture 3 - Univariate descriptive statistics


Lecture 4 - Sampling Distribution


Lecture 5 - Estimation - Part-I


Lecture 6 - Estimation - Part-II


Lecture 7 - Hypothesis Testing


Lecture 8 - Introduction to multivariate statistical modeling - Part-I


Lecture 9 - Introduction to multivariate statistical modeling - Part-II


Lecture 10 - Multivariate Normal Distribution


Lecture 11 - Multivariate Normal Distribution (Continued...)


Lecture 12 - ANOVA - Part-I


Lecture 13 - ANOVA - Part-II


Lecture 14 - Multivariate Analysis of Variance (MANOVA)


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


Lecture 16 - Multiple Regression - Introduction


Lecture 17 - MLR Sampling Distribution of Regression Coefficients


Lecture 18 - MLR-Model Adequacy Tests


Lecture 19 - MLR - Test of Assumptions


Lecture 20 - MLR - Model Diagnostics


Lecture 21 - Principal Component Analysis (PCA)


Lecture 22 - Principal Component Analysis (PCA) : Model Adequacy and Interpretation


Lecture 23 - Factor Analysis


Lecture 24 - Factor Analysis - Estimation and Model Adequacy Testing


Lecture 25 - Factor Analysis - Model Adequacy, Rotation, Factor Scores and Case Study


Lecture 26 - Introduction to Structural Equation Modeling


Lecture 27 - SEM - Measurement Model


Lecture 28 - SEM - Structural Model