Modules / Lectures
Module NameDownload
noc18_mg33_Assignment1noc18_mg33_Assignment1
noc18_mg33_Assignment10noc18_mg33_Assignment10
noc18_mg33_Assignment11noc18_mg33_Assignment11
noc18_mg33_Assignment12noc18_mg33_Assignment12
noc18_mg33_Assignment13noc18_mg33_Assignment13
noc18_mg33_Assignment2noc18_mg33_Assignment2
noc18_mg33_Assignment3noc18_mg33_Assignment3
noc18_mg33_Assignment4noc18_mg33_Assignment4
noc18_mg33_Assignment5noc18_mg33_Assignment5
noc18_mg33_Assignment6noc18_mg33_Assignment6
noc18_mg33_Assignment7noc18_mg33_Assignment7
noc18_mg33_Assignment8noc18_mg33_Assignment8
noc18_mg33_Assignment9noc18_mg33_Assignment9

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