'Bayes and Minimax Estimation - III' Video Lecture

Bayes and Minimax Estimation - III

  • Course: Statistical Inference
  • Discipline: Mathematics
  • Faculty: Prof. Somesh Kumar
  • Institute: IIT Kharagpur

    • NEXT LECTURE >> Testing of Hypotheses : Basic Concepts
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    Course Video Lectures Introduction and Motivation Basic Concepts of Point Estimations - I Basic Concepts of Point Estimations - II Finding Estimators - I Finding Estimators - II Finding Estimators - III Properties of MLEs Lower Bounds for Variance - I Lower Bounds for Variance - II Lower Bounds for Variance - III Lower Bounds for Variance - IV Sufficiency Sufficiency and Information Minimal Sufficiency, Completeness UMVU Estimation, Ancillarity Invariance - I Invariance - II Bayes and Minimax Estimation - I Bayes and Minimax Estimation - II Bayes and Minimax Estimation - III Testing of Hypotheses : Basic Concepts Neyman Pearson Fundamental Lemma Applications of NP lemma UMP Tests UMP Tests (Contd.) UMP Unbiased Tests UMP Unbiased Tests (Contd.) UMP Unbiased Tests : Applications Unbiased Tests for Normal Populations Unbiased Tests for Normal Populations (Contd... Likelihood Ratio Tests - I Likelihood Ratio Tests - II Likelihood Ratio Tests - III Likelihood Ratio Tests - IV Invariant Tests Test for Goodness of Fit Sequential Procedure Sequential Procedure (Contd.) Confidence Intervals Confidence Intervals (Contd.)
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