Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Statistical Inference: Course Outline

Course Outline

  • Recent Methods of Estimation. 
  • Minimax Estimators.
  • Asymptotic tests.
  • Neyman Pearson Lemma. 
  • Monotone-Likelihood Ratio Approach.  
  • Exponential class/family of densities.
  • Hypothesis testing methods.
  • Generalized Likelihood  Ratio  tests.
  • Asymptotic properties of Generalized Likelihood Ratio test.
  • Lagrange’s Multiplier Tests.
  • Wald Test.
  • Tests in GLM.
  • Confidence intervals and regions.
  • Confidence regions from pivotal quantities.
  • Bayesian Interval estimation.
  • Confidence regions as hypothesis testing.
  • Inferences Concerning a Cumulative Distribution Function.
  • Inferences Concerning Quantiles.
  • Tolerance Limits.
  • Equality of Two Distributions.

Recommended Books

E-Books (Full Text)

E-Books (Full Text)