By Prof. Somesh Kumar |
IIT Kharagpur

Learners enrolled: 712

INTENDED AUDIENCE: Students studying Major in Statistics, Mathematics, all engineering disciplines aspiring for a career in data science and data analytics. The students of Computer Science and Engg, Electronics and Communications, Electrical, Industrial, Mechanical, Chemical, Economics, Biotechnology, Mining, Agriculture and Food Technology etc. can take this course

PREREQUISITES: Students must have done a basic course in Probability, Distributions and Statistics. They must have good knowledge of differential and integral calculus, sequences and series, basic linear/matrix Algebra (usually students who have completed Mathematics-I and II at first year undergraduate level)

INDUSTRY SUPPORT: All companies which deal with data/business analytics will recognize this course. Today all industries use statistical methods. So for students desirous to work in any type of industry, this course will be indispensable. In particular, companies dealing with Business Analytics, Banking and finance, Insurance, machine learning, data mining etc. this course will be invaluable.

1. Introduction and Motivation – I

2. Introduction and Motivation – II

3. Basic Concepts of Point Estimations – III

4. Basic Concepts of Point Estimations – IV

5. Basic Concepts of Point Estimations – V

6 .Basic Concepts of Point Estimations – VI

7. Finding Estimators – I

8. Finding Estimators – II

9. Finding Estimators – III

10.Finding Estimators – IV

Week 3 :

11.Finding Estimators – V

12.Finding Estimators – VI

13.Properties of MLEs – I

14.Properties of MLEs – II

15.Lower Bounds for Variance – I

16.Lower Bounds for Variance – II

17.Lower Bounds of Variance – III

18.Lower Bounds of Variance – IV

19.Lower Bounds of Variance – V

20.Lower Bounds of Variance – VI

Week 5 :

21.Lower Bounds of Variance – VII

22.Lower Bounds of Variance – VIII

23.Sufficiency – I

24.Sufficiency – II

25.Sufficiency and Information – I

Week 6 :

26.Sufficiency and Information – II

27.Minimal Sufficiency, Completeness – I

28.Minimal Sufficiency, Completeness – II

29.UMVU Estimation, Ancillarity – I

30.UMVU Estimation, Ancillarity – II

Week 7 :

31.Testing of Hypotheses: Basic Concepts – I

32.Testing of Hypotheses: Basic Concepts - II

33.Neyman Pearson Fundamental Lemma – I

34.Neyman Pearson Fundamental Lemma – II

35.Application of NP Lemma – I

Week 8 :

36. Application of NP Lemma – II UMP Unbiased Tests – II

37. UMP Tests – I

38.UMP Tests – II

39.UMP Tests – III

40.UMP Tests – IV

Week 9 :

41.UMP Unbiased Tests – I

42.UMP Unbiased Tests – II

43.UMP Unbiased Tests – III

44.UMP Unbiased Tests – IV

45.Applications of UMP Unbiased Tests – I

46.Applications of UMP Unbiased Tests – II

Week 10 :

47.Unbiased Tests for Normal Populations – I

48.Unbiased Tests for Normal Populations – II

49.Unbiased Tests for Normal Populations – III

50.Unbiased Tests for Normal Populations - IV

51.Likelihood Ratio Tests – I

52.Likelihood Ratio Tests – IIV

Week 11 :

53.Likelihood Ratio Tests – III

54.Likelihood Ratio Tests – IV

55.Likelihood Ratio Tests – V

56.Likelihood Ratio Tests – VI

57.Likelihood Ratio Tests – VII

58.Likelihood Ratio Tests – VIII

Week 12 :

59.Test for Goodness of Fit – I

60.Test for Goodness of Fit – II

61.Interval estimation – I

62.Interval estimation – II

63.Interval estimation – III

64.Interval estimation – IV

1. An Introduction to Probability and Statistics by V.K. Rohatgi & A.K. Md. E. Saleh.

2. Statistical Inference by G. Casella & R.L. Berger.

3. A First Course on Parametric Inference by B.K. Kale

4. Modern Mathematical Statistics by E.J. Dudewicz & S.N. Mishra5. Introduction to the Theory of Statistics by A.M. Mood, F.A. Graybill and D.C. Boes

Prof. Somesh Kumar is a professor in the Department of Mathematics, IIT Kharagpur. He has over 32 years of experience of teaching courses on Probability Statistics, Statistical Inference, Sampling Theory, Stochastic Processes, Multivariate Analysis, Regression Analysis, Time Series, Experimental Designs, Decision Theory to undergraduate, postgraduate and doctorate students. His NPTEL courses (under MHRD) on Probability and Statistics, Statistical Inference and Statistical Methods for Scientists and Engineers (each of 40 hours) are available online and very popular. He has also taught Mathematics-I in QEEE program of MHRD to 130 engineering college students in online mode during Autumn 2014-2015. He offered the course “Probability and Statistics” for certification program in Jan-April 2016, Jan-April 2017, Jan-April 2019. He also offered the course “Statistical Inference” for certification program during Jan-April 2019. His lectures on “Probability” and “Permutation and combinations” for class XII students under IIT-PAL scheme of MHRD are also available through DTH channels of national television.

His research interests are Statistical Decision Theory, Estimation Theory, Testing of Hypothesis, Classification Problems, Directional Distributions, Limit Theorems. He has published more than 100 research papers in refereed reputed international journals and book chapters. He has supervised eleven Ph.D. students and more than two hundred fifty Masters (M.Tech./ M.Sc./B.Tech.) dissertations.

He has been guest professor in University of Ulm, Germany in July 2017 and June-July 2018 and in University of Dortmund in May-June 2019. He is Principal Investigator for a major research project “Drone for Vaccine Delivery” funded by the Indian Council for Medical Research. He has delivered invited lectures in various universities in India and abroad.

His research interests are Statistical Decision Theory, Estimation Theory, Testing of Hypothesis, Classification Problems, Directional Distributions, Limit Theorems. He has published more than 100 research papers in refereed reputed international journals and book chapters. He has supervised eleven Ph.D. students and more than two hundred fifty Masters (M.Tech./ M.Sc./B.Tech.) dissertations.

He has been guest professor in University of Ulm, Germany in July 2017 and June-July 2018 and in University of Dortmund in May-June 2019. He is Principal Investigator for a major research project “Drone for Vaccine Delivery” funded by the Indian Council for Medical Research. He has delivered invited lectures in various universities in India and abroad.

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.

The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).

Date and Time of Exams: **23 ****April 2022** Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.

Registration url: Announcements will be made when the registration form is open for registrations.

The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.

Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.

Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

Certificate will have your name, photograph and the score in the final exam with the breakup. It will have the logos of NPTEL and IIT Kharagpur .It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team

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