MIT 18.650 Statistics for Applications, Fall 2016
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What you'll learn
This course includes
- 28 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 22 lessons • 28 hours of video
MIT 18.650 Statistics for Applications, Fall 2016
22 lessons
• 28 hours
MIT 18.650 Statistics for Applications, Fall 2016
22 lessons
• 28 hours
- 1. Introduction to Statistics01:18:03
- 2. Introduction to Statistics (cont.)01:17:09
- 3. Parametric Inference01:22:37
- 4. Parametric Inference (cont.) and Maximum Likelihood Estimation01:17:57
- 5. Maximum Likelihood Estimation (cont.)01:16:32
- 6. Maximum Likelihood Estimation (cont.) and the Method of Moments01:19:09
- 7. Parametric Hypothesis Testing01:18:51
- 8. Parametric Hypothesis Testing (cont.)01:18:33
- 9. Parametric Hypothesis Testing (cont.)01:21:22
- 11. Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit01:22:48
- 12. Testing Goodness of Fit (cont.)01:21:17
- 13. Regression01:16:02
- 14. Regression (cont.)01:13:59
- 15. Regression (cont.)01:15:29
- 17. Bayesian Statistics01:18:05
- 18. Bayesian Statistics (cont.)01:03:06
- 19. Principal Component Analysis01:17:12
- 20. Principal Component Analysis (cont.)01:16:53
- 21. Generalized Linear Models01:15:14
- 22. Generalized Linear Models (cont.)01:17:20
- 23. Generalized Linear Models (cont.)01:18:21
- 24. Generalized Linear Models (cont.)54:45
