| Module Name | Download |
|---|---|
| noc18_mg33_Assignment1 | noc18_mg33_Assignment1 |
| noc18_mg33_Assignment10 | noc18_mg33_Assignment10 |
| noc18_mg33_Assignment11 | noc18_mg33_Assignment11 |
| noc18_mg33_Assignment12 | noc18_mg33_Assignment12 |
| noc18_mg33_Assignment13 | noc18_mg33_Assignment13 |
| noc18_mg33_Assignment2 | noc18_mg33_Assignment2 |
| noc18_mg33_Assignment3 | noc18_mg33_Assignment3 |
| noc18_mg33_Assignment4 | noc18_mg33_Assignment4 |
| noc18_mg33_Assignment5 | noc18_mg33_Assignment5 |
| noc18_mg33_Assignment6 | noc18_mg33_Assignment6 |
| noc18_mg33_Assignment7 | noc18_mg33_Assignment7 |
| noc18_mg33_Assignment8 | noc18_mg33_Assignment8 |
| noc18_mg33_Assignment9 | noc18_mg33_Assignment9 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lecture 01: INTRODUCTION | Download |
| 2 | Lecture 02: DATA REPRESENTATION & FREQUENCY | Download |
| 3 | Lecture 03: FREQUENCY TABLE & MEAN | Download |
| 4 | Lecture 04: DESCRIPTIVE STATISTICS | Download |
| 5 | Lecture 05: INTRODUCTION TO PROBABILITY | Download |
| 6 | Lecture 06: CONDITIONAL PROBABILITY | Download |
| 7 | Lecture 07: BAYE'S THEOREM AND DISTRIBUTIONS | Download |
| 8 | Lecture 08: BINOMIAL DISTRIBUTION | Download |
| 9 | Lecture 09: HYPERGEOMETRIC, POISSON, NORMAL DISTRIBUTION | Download |
| 10 | Lecture 10: DISTRIBUTION FUNCTION | Download |
| 11 | Lecture 11: NORMAL DISTRIBUTION | Download |
| 12 | Lecture 12: SAMPLING | Download |
| 13 | Lecture 13: SOME DISTRIBUTIONS | Download |
| 14 | Lecture 14: MORE ON DISTRIBUTIONS | Download |
| 15 | Lecture 15: ESTIMATORS | Download |
| 16 | Lecture 16: MLE | Download |
| 17 | Lecture 17: STATISTICAL INFERENCE | Download |
| 18 | Lecture 18: HYPOTHESIS TESTING | Download |
| 19 | Lecture 19: HYPOTHESIS TESTING:A | Download |
| 20 | Lecture 20: HYPOTHESIS TESTING:B | Download |
| 21 | Lecture 21: HYPOTHESIS TESTING | Download |
| 22 | Lecture 22: SIMPLE LINEAR REGRESSION | Download |
| 23 | Lecture 23: MULTIPLE LINEAR REGRESSION | Download |
| 24 | Lecture 24: WEIGHTED MOVING AVERAGES | Download |
| 25 | Lecture 25: EXPONENTIAL SMOOTHENING | Download |
| 26 | Lecture 26: FORECASTING | Download |
| 27 | Lecture 27:FORECASTING | Download |
| 28 | Lecture 28: DATA PROPERTIES | Download |
| 29 | Lecture 29: MULTIVARIATE STATISTICAL ANALYSIS | Download |
| 30 | Lecture 30: MULTIVARIATE STATISTICAL ANALYSIS | Download |
| 31 | Lecture 31: Multivariate statistical analysis | Download |
| 32 | Lecture 32: Multivariate statistical analysis | Download |
| 33 | Lecture 33: Multivariate distribution | Download |
| 34 | Lecture 34: Multivariate extreme value distribution | Download |
| 35 | Lecture 35: MLE estimates | Download |
| 36 | Lecture 36: MLE estimates | Download |
| 37 | Lecture 37: Copula theory | Download |
| 38 | Lecture 38: PCA | Download |
| 39 | Lecture 39: PCA | Download |
| 40 | Lecture 40: Factor analysis | Download |
| 41 | Lecture 41: Factor analysis | Download |
| 42 | Lecture 42: Introduction to Utility theory | Download |
| 43 | Lecture 43: Utility analysis | Download |
| 44 | Lecture 44: Decision sciences | Download |
| 45 | Lecture 45: Utility functions | Download |
| 46 | Lecture 46: Exponential utility function | Download |
| 47 | Lecture 47: Risk concepts | Download |
| 48 | Lecture 48: Utility theory axioms | Download |
| 49 | Lecture 49: Utility analysis | Download |
| 50 | Lecture 50: Chebyshev's inequality | Download |
| 51 | Lecture 51: Loss function | Download |
| 52 | Lecture 52: Loss function | Download |
| 53 | Lecture 53: loss function and MLR | Download |
| 54 | Lecture 54: MLR | Download |
| 55 | Lecture 55: Loss function | Download |
| 56 | Lecture 56: Cannonical correlation | Download |
| 57 | Lecture 57: cannonical correlation continued | Download |
| 58 | Lecture 58: Structural equation modeling (SEM) | Download |
| 59 | Lecture 59: SEM | Download |
| 60 | Lecture 60: SEM | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture 01: INTRODUCTION | Download Verified |
| 2 | Lecture 02: DATA REPRESENTATION & FREQUENCY | Download Verified |
| 3 | Lecture 03: FREQUENCY TABLE & MEAN | Download Verified |
| 4 | Lecture 04: DESCRIPTIVE STATISTICS | Download Verified |
| 5 | Lecture 05: INTRODUCTION TO PROBABILITY | Download Verified |
| 6 | Lecture 06: CONDITIONAL PROBABILITY | Download Verified |
| 7 | Lecture 07: BAYE'S THEOREM AND DISTRIBUTIONS | Download Verified |
| 8 | Lecture 08: BINOMIAL DISTRIBUTION | Download Verified |
| 9 | Lecture 09: HYPERGEOMETRIC, POISSON, NORMAL DISTRIBUTION | Download Verified |
| 10 | Lecture 10: DISTRIBUTION FUNCTION | Download Verified |
| 11 | Lecture 11: NORMAL DISTRIBUTION | Download Verified |
| 12 | Lecture 12: SAMPLING | Download Verified |
| 13 | Lecture 13: SOME DISTRIBUTIONS | Download Verified |
| 14 | Lecture 14: MORE ON DISTRIBUTIONS | Download Verified |
| 15 | Lecture 15: ESTIMATORS | Download Verified |
| 16 | Lecture 16: MLE | Download Verified |
| 17 | Lecture 17: STATISTICAL INFERENCE | Download Verified |
| 18 | Lecture 18: HYPOTHESIS TESTING | Download Verified |
| 19 | Lecture 19: HYPOTHESIS TESTING:A | Download Verified |
| 20 | Lecture 20: HYPOTHESIS TESTING:B | Download Verified |
| 21 | Lecture 21: HYPOTHESIS TESTING | Download Verified |
| 22 | Lecture 22: SIMPLE LINEAR REGRESSION | Download Verified |
| 23 | Lecture 23: MULTIPLE LINEAR REGRESSION | Download Verified |
| 24 | Lecture 24: WEIGHTED MOVING AVERAGES | Download Verified |
| 25 | Lecture 25: EXPONENTIAL SMOOTHENING | Download Verified |
| 26 | Lecture 26: FORECASTING | Download Verified |
| 27 | Lecture 27:FORECASTING | Download Verified |
| 28 | Lecture 28: DATA PROPERTIES | Download Verified |
| 29 | Lecture 29: MULTIVARIATE STATISTICAL ANALYSIS | Download Verified |
| 30 | Lecture 30: MULTIVARIATE STATISTICAL ANALYSIS | Download Verified |
| 31 | Lecture 31: Multivariate statistical analysis | Download Verified |
| 32 | Lecture 32: Multivariate statistical analysis | Download Verified |
| 33 | Lecture 33: Multivariate distribution | Download Verified |
| 34 | Lecture 34: Multivariate extreme value distribution | Download Verified |
| 35 | Lecture 35: MLE estimates | Download Verified |
| 36 | Lecture 36: MLE estimates | Download Verified |
| 37 | Lecture 37: Copula theory | Download Verified |
| 38 | Lecture 38: PCA | Download Verified |
| 39 | Lecture 39: PCA | Download Verified |
| 40 | Lecture 40: Factor analysis | Download Verified |
| 41 | Lecture 41: Factor analysis | Download Verified |
| 42 | Lecture 42: Introduction to Utility theory | Download Verified |
| 43 | Lecture 43: Utility analysis | Download Verified |
| 44 | Lecture 44: Decision sciences | Download Verified |
| 45 | Lecture 45: Utility functions | Download Verified |
| 46 | Lecture 46: Exponential utility function | Download Verified |
| 47 | Lecture 47: Risk concepts | Download Verified |
| 48 | Lecture 48: Utility theory axioms | Download Verified |
| 49 | Lecture 49: Utility analysis | Download Verified |
| 50 | Lecture 50: Chebyshev's inequality | Download Verified |
| 51 | Lecture 51: Loss function | Download Verified |
| 52 | Lecture 52: Loss function | Download Verified |
| 53 | Lecture 53: loss function and MLR | Download Verified |
| 54 | Lecture 54: MLR | Download Verified |
| 55 | Lecture 55: Loss function | Download Verified |
| 56 | Lecture 56: Cannonical correlation | Download Verified |
| 57 | Lecture 57: cannonical correlation continued | Download Verified |
| 58 | Lecture 58: Structural equation modeling (SEM) | Download Verified |
| 59 | Lecture 59: SEM | Download Verified |
| 60 | Lecture 60: SEM | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Download |
| 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 |