STAT 608 - Large Sample Theory

This course is a graduate-level introduction to large sample theory. This course will cover basic probably, convergence of random variables, consistency and normality of maximum likelihood estimator, central limit theorem, martingale, asymptotic distribution of sample quantiles, asymptotic theory of extreme order statistics, limiting distribution of likelihood ratio test, efficiency of tests.
Components: Lecture
Grading Method: R