Modules / Lectures
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noc18_mg33_Assignment8noc18_mg33_Assignment8
noc18_mg33_Assignment9noc18_mg33_Assignment9


Sl.No Chapter Name MP4 Download
1Lecture 01: INTRODUCTIONDownload
2Lecture 02: DATA REPRESENTATION & FREQUENCYDownload
3Lecture 03: FREQUENCY TABLE & MEANDownload
4Lecture 04: DESCRIPTIVE STATISTICS Download
5Lecture 05: INTRODUCTION TO PROBABILITYDownload
6Lecture 06: CONDITIONAL PROBABILITYDownload
7Lecture 07: BAYE'S THEOREM AND DISTRIBUTIONS Download
8Lecture 08: BINOMIAL DISTRIBUTION Download
9Lecture 09: HYPERGEOMETRIC, POISSON, NORMAL DISTRIBUTIONDownload
10Lecture 10: DISTRIBUTION FUNCTIONDownload
11Lecture 11: NORMAL DISTRIBUTIONDownload
12Lecture 12: SAMPLINGDownload
13Lecture 13: SOME DISTRIBUTIONSDownload
14Lecture 14: MORE ON DISTRIBUTIONSDownload
15Lecture 15: ESTIMATORS Download
16Lecture 16: MLE Download
17Lecture 17: STATISTICAL INFERENCE Download
18Lecture 18: HYPOTHESIS TESTING Download
19Lecture 19: HYPOTHESIS TESTING:ADownload
20Lecture 20: HYPOTHESIS TESTING:BDownload
21Lecture 21: HYPOTHESIS TESTINGDownload
22Lecture 22: SIMPLE LINEAR REGRESSIONDownload
23Lecture 23: MULTIPLE LINEAR REGRESSIONDownload
24Lecture 24: WEIGHTED MOVING AVERAGESDownload
25Lecture 25: EXPONENTIAL SMOOTHENINGDownload
26Lecture 26: FORECASTINGDownload
27Lecture 27:FORECASTINGDownload
28Lecture 28: DATA PROPERTIES Download
29Lecture 29: MULTIVARIATE STATISTICAL ANALYSISDownload
30Lecture 30: MULTIVARIATE STATISTICAL ANALYSISDownload
31Lecture 31: Multivariate statistical analysisDownload
32Lecture 32: Multivariate statistical analysisDownload
33Lecture 33: Multivariate distributionDownload
34Lecture 34: Multivariate extreme value distributionDownload
35Lecture 35: MLE estimatesDownload
36Lecture 36: MLE estimatesDownload
37Lecture 37: Copula theoryDownload
38Lecture 38: PCADownload
39Lecture 39: PCA Download
40Lecture 40: Factor analysisDownload
41Lecture 41: Factor analysisDownload
42Lecture 42: Introduction to Utility theoryDownload
43Lecture 43: Utility analysisDownload
44Lecture 44: Decision sciences Download
45Lecture 45: Utility functionsDownload
46Lecture 46: Exponential utility functionDownload
47Lecture 47: Risk conceptsDownload
48Lecture 48: Utility theory axiomsDownload
49Lecture 49: Utility analysisDownload
50Lecture 50: Chebyshev's inequalityDownload
51Lecture 51: Loss functionDownload
52Lecture 52: Loss functionDownload
53Lecture 53: loss function and MLRDownload
54Lecture 54: MLRDownload
55Lecture 55: Loss functionDownload
56Lecture 56: Cannonical correlationDownload
57Lecture 57: cannonical correlation continuedDownload
58Lecture 58: Structural equation modeling (SEM)Download
59Lecture 59: SEMDownload
60Lecture 60: SEMDownload

Sl.No Chapter Name English
1Lecture 01: INTRODUCTIONDownload
Verified
2Lecture 02: DATA REPRESENTATION & FREQUENCYDownload
Verified
3Lecture 03: FREQUENCY TABLE & MEANDownload
Verified
4Lecture 04: DESCRIPTIVE STATISTICS Download
Verified
5Lecture 05: INTRODUCTION TO PROBABILITYDownload
Verified
6Lecture 06: CONDITIONAL PROBABILITYDownload
Verified
7Lecture 07: BAYE'S THEOREM AND DISTRIBUTIONS Download
Verified
8Lecture 08: BINOMIAL DISTRIBUTION Download
Verified
9Lecture 09: HYPERGEOMETRIC, POISSON, NORMAL DISTRIBUTIONDownload
Verified
10Lecture 10: DISTRIBUTION FUNCTIONDownload
Verified
11Lecture 11: NORMAL DISTRIBUTIONDownload
Verified
12Lecture 12: SAMPLINGDownload
Verified
13Lecture 13: SOME DISTRIBUTIONSDownload
Verified
14Lecture 14: MORE ON DISTRIBUTIONSDownload
Verified
15Lecture 15: ESTIMATORS Download
Verified
16Lecture 16: MLE Download
Verified
17Lecture 17: STATISTICAL INFERENCE Download
Verified
18Lecture 18: HYPOTHESIS TESTING Download
Verified
19Lecture 19: HYPOTHESIS TESTING:ADownload
Verified
20Lecture 20: HYPOTHESIS TESTING:BDownload
Verified
21Lecture 21: HYPOTHESIS TESTINGDownload
Verified
22Lecture 22: SIMPLE LINEAR REGRESSIONDownload
Verified
23Lecture 23: MULTIPLE LINEAR REGRESSIONDownload
Verified
24Lecture 24: WEIGHTED MOVING AVERAGESDownload
Verified
25Lecture 25: EXPONENTIAL SMOOTHENINGDownload
Verified
26Lecture 26: FORECASTINGDownload
Verified
27Lecture 27:FORECASTINGDownload
Verified
28Lecture 28: DATA PROPERTIES Download
Verified
29Lecture 29: MULTIVARIATE STATISTICAL ANALYSISDownload
Verified
30Lecture 30: MULTIVARIATE STATISTICAL ANALYSISDownload
Verified
31Lecture 31: Multivariate statistical analysisDownload
Verified
32Lecture 32: Multivariate statistical analysisDownload
Verified
33Lecture 33: Multivariate distributionDownload
Verified
34Lecture 34: Multivariate extreme value distributionDownload
Verified
35Lecture 35: MLE estimatesDownload
Verified
36Lecture 36: MLE estimatesDownload
Verified
37Lecture 37: Copula theoryDownload
Verified
38Lecture 38: PCADownload
Verified
39Lecture 39: PCA Download
Verified
40Lecture 40: Factor analysisDownload
Verified
41Lecture 41: Factor analysisDownload
Verified
42Lecture 42: Introduction to Utility theoryDownload
Verified
43Lecture 43: Utility analysisDownload
Verified
44Lecture 44: Decision sciences Download
Verified
45Lecture 45: Utility functionsDownload
Verified
46Lecture 46: Exponential utility functionDownload
Verified
47Lecture 47: Risk conceptsDownload
Verified
48Lecture 48: Utility theory axiomsDownload
Verified
49Lecture 49: Utility analysisDownload
Verified
50Lecture 50: Chebyshev's inequalityDownload
Verified
51Lecture 51: Loss functionDownload
Verified
52Lecture 52: Loss functionDownload
Verified
53Lecture 53: loss function and MLRDownload
Verified
54Lecture 54: MLRDownload
Verified
55Lecture 55: Loss functionDownload
Verified
56Lecture 56: Cannonical correlationDownload
Verified
57Lecture 57: cannonical correlation continuedDownload
Verified
58Lecture 58: Structural equation modeling (SEM)Download
Verified
59Lecture 59: SEMDownload
Verified
60Lecture 60: SEMDownload
Verified


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