| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lecture 01: Introduction to Multivariate Statistical Modeling | Download |
| 2 | Lecture 02: Introduction to Multivariate Statistical Modeling: Data types, models, and modeling " | Download |
| 3 | Lecture 03: Statistical approaches to model building | Download |
| 4 | Lecture 04: Statistical approaches to model building (Contd) | Download |
| 5 | Lecture 05: Univariate Descriptive Statistics " | Download |
| 6 | Lecture 06: Univariate Descriptive Statistics (Contd) " | Download |
| 7 | Lecture 07: Normal Distribution and Chi-squared Distribution | Download |
| 8 | Lecture 08: t-distribution, F-distribution, and Central Limit Theorem | Download |
| 9 | Lecture 09: Univariate Inferential Statistics: Estimation | Download |
| 10 | Lecture 10: Univariate Inferential Statistics: Estimation(Contd) | Download |
| 11 | Lecture 11: Univariate Inferential Statistics: Hypothesis Testing | Download |
| 12 | Lecture 12: Hypothesis Testing(contd): Decision Making Scenarios | Download |
| 13 | Lecture 13: Multivariate Descriptive Statistics: Mean Vector | Download |
| 14 | Lecture 14: Multivariate Descriptive Statistics: Covariance Matrix | Download |
| 15 | Lecture 15: Multivariate Descriptive Statistics: Correlation Matrix | Download |
| 16 | Lecture 16: Multivariate Descriptive Statistics: Relationship between correlation and covariance matrices | Download |
| 17 | Lecture 17: Multivariate Normal Distribution | Download |
| 18 | Lecture 18: Multivariate Normal Distribution(Contd) | Download |
| 19 | Lecture 19: Multivariate Normal Distribution (Contd): Geometrical Interpretation | Download |
| 20 | Lecture 20: Multivariate Normal Distribution (Contd): Examining data for multivariate normal distribution | Download |
| 21 | Lecture 21: Multivariate Inferential Statistics: Basics and Hotelling T - square statistic | Download |
| 22 | Lecture 22: Multivariate Inferential Statistics: Confidence Region | Download |
| 23 | Lecture 23: Multivariate Inferential Statistics: Simultaneous confidence interval and Hypothesis testing | Download |
| 24 | Lecture 24: Multivariate Inferential Statistics: Hypothesis testing for equality of two population mean vectors " | Download |
| 25 | Lecture 25: Analysis of Variance (ANOVA) | Download |
| 26 | Lecture 26: Analysis of Variance (ANOVA): Decomposition of Total sum of squares | Download |
| 27 | Lecture 27: Analysis of Variance (ANOVA): Estimation of Parameters and Model Adequacy tests | Download |
| 28 | Lecture 28: Two-way and Three-way Analysis of Variance (ANOVA) | Download |
| 29 | Lecture 29: Tutorial ANOVA | Download |
| 30 | Lecture 30: Tutorial ANOVA (Contd) | Download |
| 31 | Lecture 31: Multivariate Analysis of Variance (MANOVA): Conceptual Model | Download |
| 32 | Lecture 32: Multivariate Analysis of Variance (MANOVA): Assumptions and Decomposition of total sum square and cross products (SSCP) | Download |
| 33 | Lecture 33: Multivariate Analysis of Variance (MANOVA): Decomposition of total sum square and cross products (SSCP)(contd) | Download |
| 34 | Lecture 34: Multivariate Analysis of Variance (MANOVA): Estimation and Hypothesis testing | Download |
| 35 | Lecture 35: MANOVA Case Study | Download |
| 36 | Lecture 36: Multiple Linear Regression: Introduction | Download |
| 37 | Lecture 37: Multiple Linear Regression: Assumptions and Estimation of model parameters | Download |
| 38 | Lecture 38: Multiple Linear Regression: Sampling Distribution of parameter estimates | Download |
| 39 | Lecture 39: Multiple Linear Regression: Sampling Distribution of parameter estimates (contd) | Download |
| 40 | Lecture 40: Multiple Linear Regression: Model Adequacy Tests | Download |
| 41 | Lecture 41: Multiple Linear Regression: Model Adequacy Tests(contd) | Download |
| 42 | Lecture 42: Multiple Linear Regression: Test of Assumptions | Download |
| 43 | Lecture 43: MLR-Model diagnostics | Download |
| 44 | Lecture 44: MLR-case study | Download |
| 45 | Lecture 45: Multivariate Linear Regression: conceptual model and assumptions | Download |
| 46 | Lecture 46: Multivariate Linear Regression: Estimation of parameters | Download |
| 47 | Lecture 47: Multivariate Linear Regression: Estimation of parameters (contd) | Download |
| 48 | Lecture 48: Multiple Linear Regression: Sampling Distribution of parameter estimates | Download |
| 49 | Lecture 49: Multivariate Linear Regression: Model Adequacy Tests | Download |
| 50 | Lecture 50: Multiple Linear Regression: Model Adequacy Tests(contd) | Download |
| 51 | Lecture 51: Regression modeling using SPSS | Download |
| 52 | Lecture 52: Principal Component Analysis (PCA): Conceptual Model | Download |
| 53 | Lecture 53: Principal Component Analysis (PCA): Extraction of Principal components (PCs) | Download |
| 54 | Lecture 54: Principal Component Analysis (PCA): Model Adequacy and Interpretation | Download |
| 55 | Lecture 55: Principal Component Analysis (PCA): Model Adequacy and Interpretation (contd) " | Download |
| 56 | Lecture 56: Factor Analysis: Basics and Orthogonal factor models | Download |
| 57 | Lecture 57: Factor Analysis: Types of models and key questions | Download |
| 58 | Lecture 58: Factor Analysis: Parameter Estimation | Download |
| 59 | Lecture 59: Factor Analysis: Parameter Estimation(contd) | Download |
| 60 | Lecture 60: Factor Analysis: Model Adequacy tests and factor rotation | Download |
| 61 | Lecture 61: Factor Analysis: Factor scores and case study | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture 01: Introduction to Multivariate Statistical Modeling | Download To be verified |
| 2 | Lecture 02: Introduction to Multivariate Statistical Modeling: Data types, models, and modeling " | Download To be verified |
| 3 | Lecture 03: Statistical approaches to model building | Download To be verified |
| 4 | Lecture 04: Statistical approaches to model building (Contd) | Download To be verified |
| 5 | Lecture 05: Univariate Descriptive Statistics " | Download To be verified |
| 6 | Lecture 06: Univariate Descriptive Statistics (Contd) " | Download To be verified |
| 7 | Lecture 07: Normal Distribution and Chi-squared Distribution | Download To be verified |
| 8 | Lecture 08: t-distribution, F-distribution, and Central Limit Theorem | Download To be verified |
| 9 | Lecture 09: Univariate Inferential Statistics: Estimation | Download To be verified |
| 10 | Lecture 10: Univariate Inferential Statistics: Estimation(Contd) | Download To be verified |
| 11 | Lecture 11: Univariate Inferential Statistics: Hypothesis Testing | Download To be verified |
| 12 | Lecture 12: Hypothesis Testing(contd): Decision Making Scenarios | Download To be verified |
| 13 | Lecture 13: Multivariate Descriptive Statistics: Mean Vector | Download To be verified |
| 14 | Lecture 14: Multivariate Descriptive Statistics: Covariance Matrix | Download To be verified |
| 15 | Lecture 15: Multivariate Descriptive Statistics: Correlation Matrix | Download To be verified |
| 16 | Lecture 16: Multivariate Descriptive Statistics: Relationship between correlation and covariance matrices | Download To be verified |
| 17 | Lecture 17: Multivariate Normal Distribution | Download To be verified |
| 18 | Lecture 18: Multivariate Normal Distribution(Contd) | Download To be verified |
| 19 | Lecture 19: Multivariate Normal Distribution (Contd): Geometrical Interpretation | Download To be verified |
| 20 | Lecture 20: Multivariate Normal Distribution (Contd): Examining data for multivariate normal distribution | Download To be verified |
| 21 | Lecture 21: Multivariate Inferential Statistics: Basics and Hotelling T - square statistic | Download To be verified |
| 22 | Lecture 22: Multivariate Inferential Statistics: Confidence Region | Download To be verified |
| 23 | Lecture 23: Multivariate Inferential Statistics: Simultaneous confidence interval and Hypothesis testing | Download To be verified |
| 24 | Lecture 24: Multivariate Inferential Statistics: Hypothesis testing for equality of two population mean vectors " | Download To be verified |
| 25 | Lecture 25: Analysis of Variance (ANOVA) | Download To be verified |
| 26 | Lecture 26: Analysis of Variance (ANOVA): Decomposition of Total sum of squares | Download To be verified |
| 27 | Lecture 27: Analysis of Variance (ANOVA): Estimation of Parameters and Model Adequacy tests | Download To be verified |
| 28 | Lecture 28: Two-way and Three-way Analysis of Variance (ANOVA) | Download To be verified |
| 29 | Lecture 29: Tutorial ANOVA | PDF unavailable |
| 30 | Lecture 30: Tutorial ANOVA (Contd) | PDF unavailable |
| 31 | Lecture 31: Multivariate Analysis of Variance (MANOVA): Conceptual Model | PDF unavailable |
| 32 | Lecture 32: Multivariate Analysis of Variance (MANOVA): Assumptions and Decomposition of total sum square and cross products (SSCP) | PDF unavailable |
| 33 | Lecture 33: Multivariate Analysis of Variance (MANOVA): Decomposition of total sum square and cross products (SSCP)(contd) | PDF unavailable |
| 34 | Lecture 34: Multivariate Analysis of Variance (MANOVA): Estimation and Hypothesis testing | PDF unavailable |
| 35 | Lecture 35: MANOVA Case Study | PDF unavailable |
| 36 | Lecture 36: Multiple Linear Regression: Introduction | PDF unavailable |
| 37 | Lecture 37: Multiple Linear Regression: Assumptions and Estimation of model parameters | PDF unavailable |
| 38 | Lecture 38: Multiple Linear Regression: Sampling Distribution of parameter estimates | PDF unavailable |
| 39 | Lecture 39: Multiple Linear Regression: Sampling Distribution of parameter estimates (contd) | PDF unavailable |
| 40 | Lecture 40: Multiple Linear Regression: Model Adequacy Tests | PDF unavailable |
| 41 | Lecture 41: Multiple Linear Regression: Model Adequacy Tests(contd) | PDF unavailable |
| 42 | Lecture 42: Multiple Linear Regression: Test of Assumptions | PDF unavailable |
| 43 | Lecture 43: MLR-Model diagnostics | PDF unavailable |
| 44 | Lecture 44: MLR-case study | PDF unavailable |
| 45 | Lecture 45: Multivariate Linear Regression: conceptual model and assumptions | PDF unavailable |
| 46 | Lecture 46: Multivariate Linear Regression: Estimation of parameters | PDF unavailable |
| 47 | Lecture 47: Multivariate Linear Regression: Estimation of parameters (contd) | PDF unavailable |
| 48 | Lecture 48: Multiple Linear Regression: Sampling Distribution of parameter estimates | PDF unavailable |
| 49 | Lecture 49: Multivariate Linear Regression: Model Adequacy Tests | PDF unavailable |
| 50 | Lecture 50: Multiple Linear Regression: Model Adequacy Tests(contd) | PDF unavailable |
| 51 | Lecture 51: Regression modeling using SPSS | PDF unavailable |
| 52 | Lecture 52: Principal Component Analysis (PCA): Conceptual Model | PDF unavailable |
| 53 | Lecture 53: Principal Component Analysis (PCA): Extraction of Principal components (PCs) | PDF unavailable |
| 54 | Lecture 54: Principal Component Analysis (PCA): Model Adequacy and Interpretation | PDF unavailable |
| 55 | Lecture 55: Principal Component Analysis (PCA): Model Adequacy and Interpretation (contd) " | PDF unavailable |
| 56 | Lecture 56: Factor Analysis: Basics and Orthogonal factor models | PDF unavailable |
| 57 | Lecture 57: Factor Analysis: Types of models and key questions | PDF unavailable |
| 58 | Lecture 58: Factor Analysis: Parameter Estimation | PDF unavailable |
| 59 | Lecture 59: Factor Analysis: Parameter Estimation(contd) | PDF unavailable |
| 60 | Lecture 60: Factor Analysis: Model Adequacy tests and factor rotation | PDF unavailable |
| 61 | Lecture 61: Factor Analysis: Factor scores and case study | PDF unavailable |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Not Available |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |