| Course Description : | Theory of point estimation: unbiasedness, equivariance, resampling: bootstrap and Jackknife estimates, large sample theory, asymptotic optimality, theory of testing statistical hypotheses, the decision problem, uniformly most powerful tests, unbiasedness, invariance, minimax principles. Bayes methods and sequential analysis. |