STATS 611 - Large Sample Theory
Section: 001
Term: WN 2018
Subject: Statistics (STATS)
Department: LSA Statistics
Credits:
3
Waitlist Capacity:
25
Advisory Prerequisites:
STATS 610; and Graduate standing.
Repeatability:
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)
P
12064
Open
30
30STATS 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
Required
ISBN: 9780412043710
A course in large sample theory, Author: Thomas S. Ferguson., Publisher: Chapman & Hall 1. ed. 1995
Optional
ISBN: 9780387988641
Testing statistical hypotheses, Author: E. L. Lehmann; Joseph P. Romano., Publisher: Springer 3. ed. 2005
Optional
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