Course Description
General framework for statistical inference. Point estimators: biased and unbiased, minimum variance unbiased, least mean square error, maximum likelihood and least squares, asymptotic properties. Interval estimators and tests of hypotheses: confidence intervals, power functions, Neyman-Pearson lemma, likelihood ratio tests, unbiasedness, efficiency and sufficiency.
Non-Std Tm
Through Fall 2026
Spring 2026
Instructors
Meeting Patterns
Classes Start:
January 12, 2026
Classes End:
April 28, 2026
Location:
02102 SAS Hall
Class Days:
H
Class Start Time:
1:30pm
Class End Time:
2:20pm
Class Type:
Laboratory
Credits:
0.00
Restrictions:
Prerequisite: ST 701