Learn · Data Analysis and Decision Making - I
Lecture 54 of 60Week 11
Lecture 54: MLR
Prof. Raghu Nandan Sengupta · IIT Kanpur
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- Data Analysis and Decision Making - I, IIT Kanpur (at NPTEL)
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All the lectures
- Lecture 01: INTRODUCTION
- Lecture 02: DATA REPRESENTATION & FREQUENCY
- Lecture 03: FREQUENCY TABLE & MEAN
- Lecture 04: DESCRIPTIVE STATISTICS
- Lecture 05: INTRODUCTION TO PROBABILITY
- Lecture 06: CONDITIONAL PROBABILITY
- Lecture 07: BAYE'S THEOREM AND DISTRIBUTIONS
- Lecture 08: BINOMIAL DISTRIBUTION
- Lecture 09: HYPERGEOMETRIC, POISSON, NORMAL DISTRIBUTION
- Lecture 10: DISTRIBUTION FUNCTION
- Lecture 11: NORMAL DISTRIBUTION
- Lecture 12: SAMPLING
- Lecture 13: SOME DISTRIBUTIONS
- Lecture 14: MORE ON DISTRIBUTIONS
- Lecture 15: ESTIMATORS
- Lecture 16: MLE
- Lecture 17: STATISTICAL INFERENCE
- Lecture 18: HYPOTHESIS TESTING
- Lecture 19: HYPOTHESIS TESTING:A
- Lecture 20: HYPOTHESIS TESTING:B
- Lecture 21: HYPOTHESIS TESTING
- Lecture 22: SIMPLE LINEAR REGRESSION
- Lecture 23: MULTIPLE LINEAR REGRESSION
- Lecture 24: WEIGHTED MOVING AVERAGES
- Lecture 25: EXPONENTIAL SMOOTHENING
- Lecture 26: FORECASTING
- Lecture 27:FORECASTING
- Lecture 28: DATA PROPERTIES
- Lecture 29: MULTIVARIATE STATISTICAL ANALYSIS
- Lecture 30: MULTIVARIATE STATISTICAL ANALYSIS
- Lecture 31: Multivariate statistical analysis
- Lecture 32: Multivariate statistical analysis
- Lecture 33: Multivariate distribution
- Lecture 34: Multivariate extreme value distribution
- Lecture 35: MLE estimates
- Lecture 36: MLE estimates
- Lecture 37: Copula theory
- Lecture 38: PCA
- Lecture 39: PCA
- Lecture 40: Factor analysis
- Lecture 41: Factor analysis
- Lecture 42: Introduction to Utility theory
- Lecture 43: Utility analysis
- Lecture 44: Decision sciences
- Lecture 45: Utility functions
- Lecture 46: Exponential utility function
- Lecture 47: Risk concepts
- Lecture 48: Utility theory axioms
- Lecture 49: Utility analysis
- Lecture 50: Chebyshev's inequality
- Lecture 51: Loss function
- Lecture 52: Loss function
- Lecture 53: loss function and MLR
- Lecture 54: MLR
- Lecture 55: Loss function
- Lecture 56: Cannonical correlation
- Lecture 57: cannonical correlation continued
- Lecture 58: Structural equation modeling (SEM)
- Lecture 59: SEM
- Lecture 60: SEM