AMS 205
Graduate introduction to topics in probability and mathematical statistics from the frequentist point of view: sufficiency, exponential families, maximum likelihood estimation, optimality theory for estimation, confidence intervals and significance testing, decision theory, convergence in probability and in law, central limit theorems, and efficiency and asymptotic normality. (Formerly Engineering 205.) Enrollment restricted to graduate students. B. Sansó
(sourced from /cse/classes/ams205/description.txt)