Course Materials
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1 Syllabus2021-05-19
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2021-05-18
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2020-12-23
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2020-07-08
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2020-07-07
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2020-05-31
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2020-04-16
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2020-04-01
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2019-11-08
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2019-07-01
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2019-06-25
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2019-05-23
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2019-05-15
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2019-05-13
Recommended Materials
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1 See more2021-10-28
Instructor
- Course Introduction
- Chapter 1: Introduction to Statistics and Econometrics
- Chapter 2
- Chapter 3
- Chapter 3.1: Random Variables (part 1)
- Chapter 3.2: Random Variables (part 2)
- Chapter 3.3: Cumulative Distribution Function(part 1)
- Chapter 3.4: Cumulative Distribution Function(part 2)
- Chapter 3.5: Discrete Random Variables
- Chapter 3.6: Continuous Random Variables(part 1)
- Chapter 3.7: Continuous Random Variables(part 2)
- Chapter 3.8: Functions of a Random Variable and Discrete Case
- Chapter 3.9: The CDF Approach (part 1)
- Chapter 3.10: The CDF Approach (part 2)
- Chapter 3.11: The Transformation Approach
- Chapter 3.12: Mathematical Expectations
- Chapter 3.13: Moments
- Chapter 3.14: Quantiles
- Chapter 3.15: Moment Generating Function (MGF) (part 1)
- Chapter 3.16: Moment Generating Function (MGF) (part 2)
- Chapter 3.17:Characteristic Function and Conclusion
- Chapter 4
- Chapter 5
- Chapter 5.1: Random Vectors and Joint Probability Distributions (part 1)
- Chapter 5.2: Random Vectors and Joint Probability Distributions (part 2)
- Chapter 5.3: Marginal Distributions
- Chapter 5.4: Conditional Distributions
- Chapter 5.5: Independence (part 1)
- Chapter 5.6: Independence (part 2)
- Chapter 5.7: Bivariate Transformation
- Chapter 5.8: Bivariate Normal Transformation
- Chapter 5.9: Expectations and Covariance
- Chapter 5.10: Joint Moment Generating Function
- Chapter 5.11: Implications of Independence on Expectations
- Chapter 5.12: Independence and Uncorrelatedness
- Chapter 6
- Q&A
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