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Estimation Methods: Course Outline

The fundamentals of point and interval estimation will be presented from both frequents and non-frequentist perspectives.

Course Outline

  • Properties of a good estimator,unbiased, consistent, sufficient, efficient, complete
  • Minimum variance unbiased  estimator
  • Rao-Blackwell and Lehmann Sheffe theorems with applications
  • Cramer-Rao inequality
  • Methods of Estimation
  • Maximum likelihood
  • Moments, least squares
  • Minimum chi-square and Bayesian
  • Estimates based on order observations
  • Simultaneous confidence intervals

Text Book

E-Books (Full Text)

E-Books (Full Text)