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2012 Spring - MATH
Subj Cat# Class# Sect Course
MATH 353 3193 1 Asymptotic Methods in Statistics with Applications
Description
Modes of convergence for random variables and their distributions; central limit theorems; laws of large numbers; statistical large sample theory of functions of sample moments, sample quantiles, rank statistics, and extreme order statistics; asymptotically efficient estimation and hypothesis testing. Prerequisites: Math 251 and 252; linear algebra; undergraduate analysis (Math 231 and 232, or equivalent).