NOC:Statistical Inference - 2019 (USB)

₹950.00
In stock



Media Storage Type : 32 GB USB Stick

NPTEL Subject Matter Expert : Prof. Somesh Kumar

NPTEL Co-ordinating Institute : IIT Kharagpur

NPTEL Lecture Count : 64

NPTEL Course Size : 16 GB

NPTEL PDF Text Transcription : Available and Included

NPTEL Subtitle Transcription : Available and Included (SRT)


Lecture Titles:

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
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
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
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
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
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
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
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
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
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
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
Lecture 59 - Test for Goodness of Fit - I
Lecture 60 - Test for Goodness of Fit - II
Lecture 61 - Interval Estimation - I
Lecture 62 - Interval Estimation - II
Lecture 63 - Interval Estimation - III
Lecture 64 - Interval Estimation - IV

Write Your Own Review
You're reviewing:NOC:Statistical Inference - 2019 (USB)