STATISTICS (STT)




STT 5530-5549. Selected Topics/(1-4).On Demand.




STT 5820. Design and Analysis of
Experiments/(3).F.Odd-numbered years.
The course begins with a review of sampling,
sampling distributions, and simple comparative
experiments. Single factor experiments with both
fixed and random effects are considered. Designs
illustrated include randomized blocks, latin
squares and factorial experiments. Mixed models
and rules for expected mean square are presented.
Model adequacy, sample size considerations, power
determinations and restrictions on randomization
procedures are discussed. The use of statistical
software packages is integrated throughout the
course. Prerequisite: STT 3820 (Statustucak
Methods), or permission of instructor.
(Dual-listed with STT 4820.)




STT 5830. Linear Regression Models/(4).S.
An introduction to least squares estimation in
simple and multiple regression models. The matrix
approach is used in the more general multiple
regression model. Considerable attention is given
to the analysis of variance, aptness of the model
tests, residual analysis, the effects of
multicollinearity, and variable selection
procedures. Prerequisites: MAT 2240 (Linear
Algebra) and STT 3820 (Statistical Methods).
(Dual-listed with STT 4830.)




STT 5860. Mathematical Statistics I/(3).F.
An introduction to the mathematical principles of
statistical inference. Topics include a study of
sampling theory, point and interval estimation,
and hypothesis testing. Prerequisite: STT 4250
(Probability Models) and MAT 2130 (Calculus III).
(Dual-listed with STT 4860.)




STT 5865. Mathematical Statistics
II/(3).S.Odd-numbered years.
A study of mathematical statistics to include such
topics as sampling distributions, consistency, best
asymptotic normal estimators, sufficiency, maximum
likelihood estimation, Bayes' estimators,
confidence intervals and tests of hypotheses.
Prerequisite: STT 5860. (Dual-listed with STT
4865.)