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 2024
Instructors
Meeting Patterns
Classes Start:
January 8, 2024
Classes End:
April 23, 2024
Location:
02102 SAS Hall
Class Days:
W
Class Start Time:
10:15am
Class End Time:
11:05am
Class Type:
Laboratory
Credits:
0.00
Restrictions:
Prerequisite: ST 701