| STAA551: (2 credits) Regression Models and Applications |
Estimation and hypothesis testing methods in linear models including t-tests, ANOVA, regression, including multiple regression. Residual analyses, transformations, goodness of fit, interaction and confounding. Implementation in SAS and R. Prerequisite: Admission to the MAS program or written consent of instructor. (A background including CSSA and MSSA is assumed.) Credit allowed for only one course: STAT540, STAT512, STAA551.
| STAA552: (2 credits) Generalized Regression Models |
Nonlinear regression, iteratively re-weighted least squares, dose-response models, count data, multi-way tables, survival analysis. Prerequisites are STAA551 and STAA561. (A background including CSSA and MSSA is assumed.) Credit allowed for only one course: STAT645, STAA552.
|
| STAA553: (2 credits) Experimental Design |
Analysis of variance, covariance, randomized block, latin square, split-plot, factorial, balanced and unbalanced designs. Applications to agriculture, biosciences. Implementation in SAS and R. Prerequisites are STAA551 and STAA562. (A background including CSSA and MSSA is assumed.) Credit allowed for only one of: STAT650 or [STAA553 and STAA554]..
|
| STAA554:
(2 credits) Mixed Models |
Topics in linear, generalized linear, and nonlinear models with fixed and random predictors, balanced and unbalanced cases. Statistical topics with be integrated with the use of the computer packages SAS and R. Prerequisites are STAA552, STAA553 and STAA562. (A background including CSSA and MSSA is assumed.) Credit allowed for only one of: STAT650 or [STAA553 and STAA554].
|
| STAA556:
( 3 credits) Statistical Consulting |
Consultant-client interactions, communications, ethical practices. Complete a consulting project and provide a report. Prerequisites are the completion of all other courses in the MAS program, or one year in the MS or PhD program. Credit allowed for only one course: STAT586, STAA556.
|
| STAA561:
( 2 credits) Probability with Applications |
Random variables, continuous and discrete distributions, expectations, joint and conditional distributions, transformations. Applications to capture/recapture, financial and industrial models. Prerequisite: Admission to the MAS program or written consent of instructor. (A background including MSSA is assumed.) Credit allowed for only one course: STAT520, STAA561.
|
| STAA562:
(2 credits) Mathematical Statistics with Applications |
Theory and applications of estimation, testing, and confidence intervals. Computer simulations; sampling from the normal distribution. Prerequisite is STAA561. (A background including MSSA is assumed.) Credit allowed for only one course: STAT530, STAA562.
|
| STAA565:
(1 credit) Quantitative Reasoning |
Confounding, types of bias such as selection bias and regression effect bias, Simpson’s paradox, experiments versus observational studies, etc. Co-requisite is STAA551.
|
| STAA566: (1 credit) Computational and Graphical Methods |
Exploratory data analysis using graphics, effective communication with graphs, data reduction methods. Prerequisite: Admission to the MAS program or written consent of instructor. (A background including CSSA is assumed.) Credit allowed for only one of: STAT600 or [STAA566 and STAA567].
| STAA567: (1 credit) Computational and Simulation Methods |
Sampling methods, simulating distributions of test statistics, optimization. Prerequisites are STAA552 and STAA562. (A background including CSSA is assumed.) Credit allowed for only one of: STAT600 or [STAA566 and STAA567].
|
| STAA568: (1 credit) Topics Industrial/Organizational Statistics |
Quality management, process control, reliability, decision making. Pre-requisites are STAA551 and STAA561. Credit allowed for only one course: STAT547, STAA568.
|
| STAA571:
(2 credits) Survey Statistics |
This course is the first half of our STAT605, including survey designs, simple random, stratified, and cluster samples. Estimation and variance estimation. Prerequisites are STAA551 and STAA562. (A background including CSSA and MSSA is assumed.) Credit allowed for only one course: STAT605, STAA571.
|
| STAA572: (2 credits) Nonparametric Methods |
Rank-based methods, nonparametric inferential techniques, scatterplot smoothing, nonparametric function estimation. Environmental, bio-science applications. Prerequisites are STAA551 and STAA561. (A background including CSSA and MSSA is assumed.) Credit allowed for only one course: STAT570, STAA572.
|
| STAA573: (2 credits) Analysis of Time Series |
Moving average and auto-regressive correlation structures, estimation and forecasting, modeling seasonality. Financial and environmental applications. Co-requisites are STAA551 and STAA561. (A background including CSSA and MSSA is assumed.) Textbook: Time Series Analysis and Its Applications: With R Examples, 3rd ed., by Shumway & Stoffer. Credit allowed for only one course: STAT525, STAA573.
|
| STAA574:
(2 credits) Methods in Multivariate Analysis |
Multivariate ANOVA, principal components, factor analysis, cluster analysis, discrimination analysis. Prerequisites are STAA551 and STAA562. (A background including CSSA and MSSA is assumed.) Credit allowed for only one course: STAT560, STAT460, STAA574.
|
| STAA575: (2 credits) Applied Bayesian Statistics |
Bayesian analysis of statistical models, prior and posterior distributions, computing methods, interpretation. Prerequisites are STAA552 and STAA562. (A background including CSSA and MSSA is assumed.) Credit allowed for only one course: STAT675K, STAA575.
|
| STAA576:
(2 credits) Methods in Environmental Statistics |
This course will introduce a number of statistical methodologies that are used in environmental and ecological studies. Students are introduced to topics in spatial statistics, and abundance estimation for biological populations. Prerequisites are STAA552 and STAA561. Credit allowed for only one course: STAT523, STAA576.
|
|
