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 953 Asymptotic Theory

Description:
Large sample behavior of likelihood function. Local Asymptotic Normality models. Contiguity. Bahadur and Pitman efficiency of statistical procedures.
Effective Dates:
FS95 - US04

STT 953 Asymptotic Theory

Semester:
Fall of odd years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
STT 872
Description:
Asymptotics of M- and R- estimators. Asymptotically efficient and adaptive procedures.
Effective Dates:
FS04 - US07

STT 953 Asymptotic Theory

Semester:
Fall of even years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
STT 872
Description:
Asymptotics of M- and R- estimators. Asymptotically efficient and adaptive procedures.
Effective Dates:
FS07 - FS13

STT 953 Asymptotic Theory

Semester:
Spring of even years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
STT 872 and STT 882
Restrictions:
Open to doctoral students in the Statistics major or approval of department.
Description:
Locally asymptotic normal models, empirical likelihood, U-statistics, Asymptotically efficient and adaptive procedures
Effective Dates:
SS14 - Open