52:44

MTH418 Lecture 30: UMP Tests for Two-Sided Hypotheses-I

51:20

MTH418 Lecture 29: Problem Solving Session on NP Lemma

53:13

MTH 418 Tutorial 10: Assignment No. 7

51:02

MTH418 Lecture 27: UMP Tests for One Sided Composite Hypotheses-I

53:47

MTH418 Lecture 28: UMP Tests For One Sided Composite Hypotheses-II

48:37

MTH418 Lecture 26: Monotone Likelihood Ratio Property

52:33

MTH 418 Tutorial 9: Assignment No. 7

51:29

MTH418 Lecture 25: Applications of Neyman Pearson Lemma for Composite Hypotheses and MLR Property

40:55

MTH418 Lecture 24: Applications of Neyman Paerson Lemma-II

56:55

MTH418 Lecture 23: Applications of Neyman Pearson Lemma-I

55:08

MTH 418 Tutorial 8: Doubts Clearing Session

52:18

MTH418 Lecture 22: Neyman Pearson Lemma

53:26

MTH418 Lecture 21: Introduction to Hypothesis Testing Problems-II

01:00:45

MTH418 Lecture 20: Introduction to Hypothesis Testing Problems-I

59:07

Pre-Mid-Semester Examination Problem Solving Session

01:26:11

MTH418 Tutorial 7: Assignments 5 & 6

01:07:46

MTH418 Tutorial 6: Assignments 5 & 6

50:07

MTH418 Lecture 19: Multiparameter Rao-Cramer Inequality / Bhattacharya Inequality

55:18

Lecture 18: Variance Inequalities (Rao-Cramer Inequality, Fisher's Information)-Continued

01:06:48

MTH418 Lecture 17: Variance Inequalities (Hammersley-Chapman-Robbins and Rao-Cramer Inequalities)

56:12

MTH418 Tutorial 5: Assignment No. 5

56:03

MTH418 Tutorial 4: Assignment No. 4

59:25

MTH418 Lecture 16:Unbiased Estimation-III (Examples of deriving the UMVUE)

50:29

MTH418 Lecture 15:Unbiased Estimation-II (UMVUE, Lehman-Scheffe Theorem)

59:05

MTH418 Lecture 14: Unbiased Estimation-I

58:03

MTH418 Lecture 13: Jensen's Inequality, Rao-Blackwell Theorem and Unbiased Estimators

56:03

MTH418 Tutorial 4: Assignment No. 3

55:15

MTH418 Lecture 12: Randomized Estimators, Loss Functions and Convex Functions

58:16

MTH418 Lecture 11: Parametric Point Estimation: Methods of MME and MLE

01:17:29

MTH 418 Tutorial 3: Assignment No. 3

58:06

MTH418 Lecture 10: Basu's Theorem

25:21

MTH 418 Lecture 9 (Part-2): Completeness and Minimal Sufficiency

25:27

MTH 418 Lecture 9 (Part-1): Completeness-II

52:21

MTH418 Tutorial 2: Assignment No. 2

51:53

Lecture 8: Completeness-I

56:22

MTH 418 Lecture 7: Minimal Sufficient and Ancillary Statistics

58:51

Lecture 6: Minimal Sufficient Statistics

56:50

MTH418 Tutorial 1: Assignment No. 1

01:06:31

MTH418 Lecture 5: Sufficiency-III

49:24

MTH 418 Lecture 4: Sufficiency-II

59:00

MTH 418 Lecture 3: Sufficiency-I

57:46

MTH 418 Lecture 2: Elements of Statistical Inference-II

54:10

MTH 418 Lecture 1: Elements of Statistical Inference-I

50:45

First Course Handout

35:28

Lecture Module 65 (Week 12): Invariant Testing of Hypothesis-XII

26:47

Lecture Module 64 (Week 12): Invariant Testing of Hypothesis-XI

22:31

Lecture Module 63 (Week 12): Invariant Testing of Hypothesis-X

32:48

Lecture Module 62 (Week 12): Invariant Testing of Hypothesis-IX

32:18

Lecture Module 61 (Week 12): Invariant Testing of Hypothesis-VIII

35:33

Lecture Module 60 (Week 12): Invariant Testing of Hypothesis-VII

28:01

Lecture Module 59 (Week 12): Invariant Testing of Hypothesis-VI

37:02

Lecture Module 58 (Week 12): Invariant Testing of Hypothesis-V

51:40

Tutorial 09 (Week 11): Assignment No. 5

49:04

Tutorial 10 (Week 11): Assignment No. 5

49:29

Discussion Hour 10 (Week 11): Asymptotic Properties of MLE

19:03

Lecture Module 57 (Week 11): Invariant Testing of Hypothesis-IV

28:33

Lecture Module 56 (Week 11): Invariant Testing of Hypothesis-III

27:10

Lecture Module 55 (Week 11): Invariant Testing of Hypothesis-II

34:20

Lecture Module 54 (Week 11): Invariant Testing of Hypothesis-I

28:59

Lecture Module 53 (Week 11): Asymptotic Properties of MLE-VI