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.
Spring 2024
Instructors
Meeting Patterns
Classes Start:
January 8, 2024
Classes End:
April 23, 2024
Location:
01108 SAS Hall
Class Days:
M W
Class Start Time:
8:30am
Class End Time:
9:45am
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: ST 701
