Unbiased Tests for Normal Populations (Continued…)
5
Unbiased Tests for Normal Populations
6
UMP Unbiased Tests : Applications
7
UMP Unbiased Tests
8
UMP Unbiased Tests
9
UMP Tests (Contd.)
10
UMP Tests
11
Applications of NP Lemma
12
Neyman Pearson fundamental Lemma
13
Testing of Hypothesis : Basic concepts
14
Bayes and Minimax Estimation - III
15
Invariance - II
16
Invariance-I
17
UMVU Estimation,Ancillarity
18
Minimal Sufficiency,Completeness
19
Sufficiency & Information
20
Sufficiency
21
Lower bounds of variance - IV
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Lower bounds for variance - III
23
Lower bounds for variance - II
24
Lower bounds for Variance - I
25
Properties of MLEs
26
Finding Estimators - III
27
Finding Estimators - II
28
Finding Estimators - I
29
Introduction and Motivation
30
Basic concepts of point Estimations - I
31
Basic concepts of point Estimations - II
Description:
Explore statistical inference concepts through a comprehensive course covering confidence intervals, likelihood ratio tests, unbiased tests for normal populations, UMP unbiased tests, hypothesis testing, Bayes and minimax estimation, invariance, UMVU estimation, sufficiency, lower bounds of variance, properties of MLEs, and point estimation techniques. Gain a solid foundation in statistical theory and practical applications over the course of 30 hours.