Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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STT 872 Theory of Statistics II

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
STT 871 and (STT 882 or concurrently)
Description:
Theory of Neyman Pearson tests and extensions. Convex loss estimation, best unbiased estimates, sufficient statistics, information lower bounds. Extensive application to linear models. LAN families and applications to estimation and tests.
Effective Dates:
US95 - US13

STT 872 Statistical Inference I

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 862 and STT 881
Restrictions:
Open to doctoral students in the Statistics major or approval of department.
Description:
Statistical distributions, decision-theoretic formulation of estimation and testing of hypotheses, sufficiency, Rao-Blackwellization, admissibility, Bayes and minimax estimation, maximum likelihood estimation, inference based on order statistics, Neyman-Pearson Lemma and applications, multiple testing.
Effective Dates:
FS13 - Open