STATS 611 - Large Sample Theory
Section: 001
Term: WN 2018
Subject: Statistics (STATS)
Department: LSA Statistics
Waitlist Capacity:
Advisory Prerequisites:
STATS 610; and Graduate standing.
May be repeated for a maximum of 6 credit(s).
Primary Instructor:

More on the theory of estimation including: minimax, Bayes and James-Stein estimators. The theory of hypothesis testing including: Tests significance levels, power, the Neyman-Pearson lemma, uniformly most powerful unbiased tests, monotone likelihood rations, locally best tests, similar tests, likelihood ratio tests and the associated large sample theory, sequential tests, goodness of fit tests, and tests in contingency tables. Other topics include: confidence regions, introduction tot eh general linear model and non-parametric methods.

STATS 611 - Large Sample Theory
Schedule Listing
001 (LEC)
20STATS PhD only
MW 8:30AM - 10:00AM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 9780387938387
Statistical theory, Author: Robert W. Keener., Publisher: Springer 2010
ISBN: 9780412043710
A course in large sample theory, Author: Thomas S. Ferguson., Publisher: Chapman & Hall 1. ed. 1995
ISBN: 9780387988641
Testing statistical hypotheses, Author: E. L. Lehmann; Joseph P. Romano., Publisher: Springer 3. ed. 2005
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