Jump to key moments of MIT 18 650 Statistics for Applications

2. Introduction to Statistics (cont.)
1:17:09
2. Introduction to Statistics (cont.)
302.8K viewsAug 17, 2017
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1. Introduction to Statistics
1:18:03
1. Introduction to Statistics
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17. Bayesian Statistics
1:18:05
17. Bayesian Statistics
271K viewsAug 17, 2017
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6. Maximum Likelihood Estimation (cont.) and the Method of Moments
1:19:09
6. Maximum Likelihood Estimation (cont.) and the Method of Moments
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13. Regression
1:16:02
13. Regression
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3. Parametric Inference
1:22:37
3. Parametric Inference
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18. Bayesian Statistics (cont.)
1:03:06
18. Bayesian Statistics (cont.)
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1:17:57
4. Parametric Inference (cont.) and Maximum Likelihood Estimation
86.6K viewsAug 17, 2017
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1:17:12
19. Principal Component Analysis
128K viewsAug 17, 2017
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1:15:14
21. Generalized Linear Models
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1:13:59
14. Regression (cont.)
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1:16:32
5. Maximum Likelihood Estimation (cont.)
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1:21:22
9. Parametric Hypothesis Testing (cont.)
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1:18:51
7. Parametric Hypothesis Testing
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1:18:33
8. Parametric Hypothesis Testing (cont.)
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1:17:20
22. Generalized Linear Models (cont.)
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1:21:17
12. Testing Goodness of Fit (cont.)
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54:45
24. Generalized Linear Models (cont.)
22K viewsAug 17, 2017
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