Management - Applied Multivariate Statistical Modeling (English)

   Tuesday, April 22, 2025   

Starting a new Lecture Notes Series on Management - Applied Multivariate Statistical Modeling

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Management - Applied Multivariate Statistical Modeling By Lecture Notes together!

Lecture 1: Mod-01 Lec-01 Introduction to multivariate statistical modeling

Lecture 2: Mod-01 Lec-02 Introduction to multivariate statistical modeling (Contd.)

Lecture 3: Mod-01 Lec-03 Univariate descriptive statistics

Lecture 4: Mod-01 Lec-04 Sampling distribution

Lecture 5: Mod-01 Lec-05 Estimation

Lecture 6: Mod-01 Lec-06 Estimation (Contd.)

Lecture 7: Mod-01 Lec-07 Hypothesis testing

Lecture 8: Mod-01 Lec-08 Multivariate descriptive statistics

Lecture 9: Mod-01 Lec-09 Multivariate descriptive statistics (Contd.)

Lecture 10: Mod-01 Lec-10 Multivariate normal distribution

Lecture 11: Mod-01 Lec-11 Multivariate normal distribution (Contd.)

Lecture 12: Mod-01 Lec-12 Multivariate Inferential Statistics

Lecture 13: Mod-01 Lec-13 Multivariate Inferential Statistics (Contd.)

Lecture 14: Mod-01 Lec-14 ANOVA (Analysis of Varianace)

Lecture 15: Mod-01 Lec-15 Analysis of Variance (Contd.)

Lecture 16: Mod-01 Lec-16 Multivariate Analysis of Variance (MANOVA)

Lecture 17: Mod-01 Lec-17 MANOVA (Contd.)

Lecture 18: Mod-01 Lec-18 Tutorial -- ANOVA

Lecture 19: Mod-01 Lec-19 Tutorial ANOVA (Contd.)

Lecture 20: Mod-01 Lec-20 MANOVA -- Case Study

Lecture 21: Mod-01 Lec-21 Multiple Regression -- Introduction

Lecture 22: Mod-01 Lec-22 MLR -- Sampling distribution of regression coefficients

Lecture 23: Mod-01 Lec-23 MLR -- Model adequacy tests

Lecture 24: Mod-01 Lec-24 MLR -- Test of assumptions

Lecture 25: Mod-01 Lec-25 MLR -- Model diagnostics

Lecture 26: Mod-01 Lec-26 MLR -- Case Study

Lecture 27: Mod-01 Lec-27 Multivariate Linear Regression

Lecture 28: Mod-01 Lec-28 Multivariate Linear Regression -- Estimation

Lecture 29: Mod-01 Lec-29 Multivariate Linear Regression -- Model Adequacy tests

Lecture 30: Mod-01 Lec-30 Principal Component Analysis (PCA)

Lecture 31: Mod-01 Lec-31 PCA -- Model Adequacy & Interpretation

Lecture 32: Mod-01 Lec-32 Regression Modeling using SPSS

Lecture 33: Mod-01 Lec-33 Factor Analysis

Lecture 34: Mod-01 Lec-34 Factor Analysis -- Estimation & Model Adequacy testing

Lecture 35: Mod-01 Lec-35 Factor Analysis -- Model Adequacy, rotation, factor scores & case study

Lecture 36: Mod-01 Lec-36 Cluster Analysis

Lecture 37: Mod-01 Lec-37 Cluster Analysis (Contd.)

Lecture 38: Mod-01 Lec-38 Introduction to Structural Equation Modeling (SEM)

Lecture 39: Mod-01 Lec-39 SEM - Measurement Model

Lecture 40: Mod-01 Lec-40 SEM - Structural Model

Lecture 41: Mod-01 Lec-41 Correspondence Analysis

Lecture 42: Mod-01 Lec-42 Correspondence Analysis (Contd.)