Course11110512464 lectures
Statistical Inference - IITKGP
Prof. Somesh Kumar · IIT Kharagpur
Lectures
WEEK 1
- Lecture 1: Introduction and Motivation-I
- Lecture 2: Introduction and Motivation-II
- Lecture 3: Basic Concepts of Point Estimations-I
- Lecture 4: Basic Concepts of Point Estimations-II
- Lecture 5: Basic Concepts of Point Estimations-III
WEEK 2
- Lecture 6: Basic Concepts of Point Estimations-IV
- Lecture 7: Finding Estimators-I
- Lecture 8: Finding Estimators-II
- Lecture 9: Finding Estimators-III
- Lecture 10: Finding Estimators-IV
WEEK 3
- Lecture 11 : Finding Estimators-V
- Lecture 12 : Finding Estimators-VI
- Lecture 13 : Properties of MLEs- I
- Lecture 14 : Properties of MLEs- II
- Lecture 15 : Lower Bounds for Variance-I
WEEK 4
- Lecture 16 : Lower Bounds for Variance-II
- Lecture 17 : Lower Bounds for Variance-III
- Lecture 18 : Lower Bounds for Variance-IV
- Lecture 19 : Lower Bounds for Variance-V
- Lecture 20 : Lower Bounds for Variance-VI
WEEK 5
- Lecture 21 : Lower Bounds for Variance - VII
- Lecture 22 : Lower Bounds for Variance - VIII
- Lecture 23 : Sufficiency - I
- Lecture 24 : Sufficiency - II
- Lecture 25 : Sufficiency and Information - I
WEEK 6
- Lecture 26 : Sufficiency and Information - II
- Lecture 27 : Minimal Sufficiency, Completeness - I
- Lecture 28 : Minimal Sufficiency, Completeness - II
- Lecture 29 : UMVU Estimation, Ancillarity - I
- Lecture 30 : UMVU Estimation, Ancillarity - II
WEEK 7
- Lecture 31: Testing of Hypotheses : Basic Concepts - I
- Lecture 32: Testing of Hypotheses : Basic Concepts - II
- Lecture 33: Neyman Pearson Fundamental Lemma - I
- Lecture 34: Neyman Pearson Fundamental Lemma - II
- Lecture 35: Application of NP - Lemma - I
WEEK 8
- Lecture 36 : Application of NP - Lemma - II
- Lecture 37 : UMP Tests-I
- Lecture 38 : UMP Tests-II
- Lecture 39 : UMP Tests-III
- Lecture 40 : UMP Tests-IV
WEEK 9
- Lecture 41 : UMP Unbiased Tests-I
- Lecture 42 : UMP Unbiased Tests-II
- Lecture 43 : UMP Unbiased Tests-III
- Lecture 44 : UMP Unbiased Tests-IV
- Lecture 45 : Applications of UMP Unbiased Tests - I
- Lecture 46 : Applications of UMP Unbiased Tests - II
WEEK 10
- Lecture 47: Unbiased Test for Normal Populations - I
- Lecture 48: Unbiased Test for Normal Populations - II
- Lecture 49: Unbiased Test for Normal Populations - III
- Lecture 50: Unbiased Test for Normal Populations - IV
- Lecture 51 : Likelihood Ratio Tests - I
- Lecture 52 : Likelihood Ratio Tests - II
WEEK 11
- Lecture 53 : Likelihood Ratio Tests - III
- Lecture 54 : Likelihood Ratio Tests - IV
- Lecture 55 : Likelihood Ratio Tests - V
- Lecture 56 : Likelihood Ratio Tests - VI
- Lecture 57 : Likelihood Ratio Tests - VII
- Lecture 58 : Likelihood Ratio Tests - VIII
WEEK 12
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kharagpur
- Department
- Mathematics
- Teacher
- Prof. Somesh Kumar
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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