# 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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