Course Materials
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1064 Syllabus2021-05-19
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1063 Homework solutions2021-05-18
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2020-12-23
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1061 Slide of Chapter 102020-07-08
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1060 Slide of Chapter 92020-07-07
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1059 Slide of Chapter 82020-05-31
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1058 Slide of Chapter 72020-04-16
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1057 Slide of Chapter 62020-04-01
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2019-11-08
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1055 Slide of Chapter 52019-07-01
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1054 Slide of Chapter 42019-06-25
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1053 Slide of Chapter 32019-05-23
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1052 Slide of Chapter 22019-05-15
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1051 Slide of Chapter 12019-05-13
Recommended Materials
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1 See more2021-10-28
Instructor
- Course Introduction
- Chapter 1: Introduction to Statis...
- Chapter 2
- Chapter 3
- Chapter 3.1: Random Variables (pa...
- Chapter 3.2: Random Variables (pa...
- Chapter 3.3: Cumulative Distribut...
- Chapter 3.4: Cumulative Distribut...
- Chapter 3.5: Discrete Random Vari...
- Chapter 3.6: Continuous Random Va...
- Chapter 3.7: Continuous Random Va...
- Chapter 3.8: Functions of a Rando...
- Chapter 3.9: The CDF Approach (pa...
- Chapter 3.10: The CDF Approach (p...
- Chapter 3.11: The Transformation ...
- Chapter 3.12: Mathematical Expect...
- Chapter 3.13: Moments
- Chapter 3.14: Quantiles
- Chapter 3.15: Moment Generating F...
- Chapter 3.16: Moment Generating F...
- Chapter 3.17:Characteristic Funct...
- Chapter 4
- Chapter 5
- Chapter 5.1: Random Vectors and J...
- Chapter 5.2: Random Vectors and J...
- Chapter 5.3: Marginal Distributio...
- Chapter 5.4: Conditional Distribu...
- Chapter 5.5: Independence (part 1...
- Chapter 5.6: Independence (part 2...
- Chapter 5.7: Bivariate Transforma...
- Chapter 5.8: Bivariate Normal Tra...
- Chapter 5.9: Expectations and Cov...
- Chapter 5.10: Joint Moment Genera...
- Chapter 5.11: Implications of Ind...
- Chapter 5.12: Independence and Un...
- Chapter 6
- Q&A
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