Statistical Inference Video Lectures

Statistical Inference
'Statistical Inference' Video Lectures by Prof. Somesh Kumar from IIT Kharagpur
"Statistical Inference" - Video Lectures
1. Introduction and Motivation
2. Basic Concepts of Point Estimations - I
3. Basic Concepts of Point Estimations - II
4. Finding Estimators - I
5. Finding Estimators - II
6. Finding Estimators - III
7. Properties of MLEs
8. Lower Bounds for Variance - I
9. Lower Bounds for Variance - II
10. Lower Bounds for Variance - III
11. Lower Bounds for Variance - IV
12. Sufficiency
13. Sufficiency and Information
14. Minimal Sufficiency, Completeness
15. UMVU Estimation, Ancillarity
16. Invariance - I
17. Invariance - II
18. Bayes and Minimax Estimation - I
19. Bayes and Minimax Estimation - II
20. Bayes and Minimax Estimation - III
21. Testing of Hypotheses : Basic Concepts
22. Neyman Pearson Fundamental Lemma
23. Applications of NP lemma
24. UMP Tests
25. UMP Tests (Contd.)
26. UMP Unbiased Tests
27. UMP Unbiased Tests (Contd.)
28. UMP Unbiased Tests : Applications
29. Unbiased Tests for Normal Populations
30. Unbiased Tests for Normal Populations (Contd.)
31. Likelihood Ratio Tests - I
32. Likelihood Ratio Tests - II
33. Likelihood Ratio Tests - III
34. Likelihood Ratio Tests - IV
35. Invariant Tests
36. Test for Goodness of Fit
37. Sequential Procedure
38. Sequential Procedure (Contd.)
39. Confidence Intervals
40. Confidence Intervals (Contd.)
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