Statistics (STA)

STA 512 Regression Analysis3 Credit hours   

Determining regression models; deriving parameter estimates using calculus; detailed coverage of tests of assumptions and remedial procedures (transformations and weighted least-squares); multiple and polynomial regression; tests and corrections for autocorrelation.

Pre-req: STA 545 with a minimum grade of C.

Grade Mode: Normal Grading Mode
STA 513 Experimental Designs3 Credit hours   

Principles of experimentation; Analysis of variance; Latin square and related designs; Factorial designs, Response Surface; Robustness; Nested and Split-Plot designs.

Pre-req: STA 545 with a minimum grade of C.

Grade Mode: Normal Grading Mode
STA 518 Biostatistics3 Credit hours   

Statistical skills for biological/biomedical research, with emphasis on applications. Experimental design/survey sampling, estimation/hypothesis testing procedures, regression, ANOVA, multiple comparisons. Implementation using statistical software such as SAS, BMDP. May not be used for any degree offered by the Department of Mathematics.

Grade Mode: Normal Grading Mode
STA 520 Nonparametric Statistics3 Credit hours   

Coverage of a variety of nonparametric or distribution-free markets for practical statistical inference problems in hypothesis testing and estimation, including rank procedures and randomization procedures.

Pre-req: STA 545 with a minimum grade of C.

Grade Mode: Normal Grading Mode
STA 525 Sampling Design & Estimation3 Credit hours   

Coverage of the theory and applications of a variety of sampling designs; sample size determination; ratio and regression estimates; comparisons among the designs.

Grade Mode: Normal Grading Mode
STA 535 Statistical Data Mining3 Credit hours   

Introduction to statistical learning techniques for analyzing high dimensional data. Topics include data mining strategy, explanatory analysis, predictive modeling techniques and model assessment.

Grade Mode: Normal Grading Mode
STA 545 Probability and Statistics I3 Credit hours   

Probability spaces, conditional probability, and applications. Random variables, distributions, expectations, and moments.

Grade Mode: Normal Grading Mode
STA 546 Probability and Statistics II3 Credit hours   

Probability spaces, conditional probability, and applications. Random variables, distributions, expectations, and moments.

Pre-req: STA 545 with a minimum grade of C.

Grade Mode: Normal Grading Mode
STA 564 Statistical Computing3 Credit hours   

Introduction to the commonly used statistical computing techniques, procedures and methods, with extensive use of R language and environment, and SAS for statistical computing and graphics. (CR/PR: STA 545 or STA 546)

Pre-req: STA 545 with a minimum grade of C.

Grade Mode: Normal Grading Mode
STA 570 Applied Survival Analysis3 Credit hours   

Survival and hazard functions, parametric and non-parametric methods, models and inferences for survival data, proportional hazard, and regression diagnosis.

Pre-req: STA 545 with a minimum grade of C.

Grade Mode: Normal Grading Mode
STA 580 Special Topics1-4 Credit hours   

Courses on special topics in statistics not listed among current course offerings.

Attributes: No Textbook Required
Grade Mode: Normal Grading Mode
STA 585 Independent Study1-4 Credit hours   

A faculty supervised, individualized course of study of a topic in statistics.

Attributes: No Textbook Required
Grade Mode: Normal Grading Mode
STA 634 Stat Mtds for Researchers3 Credit hours   

Aspects of statistical modeling including model building, adequacy assessment, inference, and prediction. Applications to social biological, and medical sciences; engineering; and industry.

Grade Mode: Normal Grading Mode
STA 660 Stochastic Processes3 Credit hours   

Theory and applications of Markov chains. (PR: MTH 545)

Pre-req: STA 545 with a minimum grade of C.

Grade Mode: Normal Grading Mode
STA 661 Adv Math Statistics3 Credit hours   

Topics in mathematical statistics including distribution theory for functions of random variables, convergence concepts, sufficient statistics, finding optimal estimates for parameters, optimal test of hypotheses. (PR: MTH 546)

Pre-req: STA 546 with a minimum grade of C.

Grade Mode: Normal Grading Mode
STA 662 Appl Multivariate Stat Methods3 Credit hours   

Introduction to multivariate statistical analyses and methodologies of various types of datasets that are commonly encountered in medical, business, engineering, science, and any other data intensive disciplines.

Pre-req: STA 546 with a minimum grade of C.

Attributes: No Textbook Required
Grade Mode: Normal Grading Mode
STA 663 Time Series Forecasting3 Credit hours   

Finding statistical models to represent various time-dependent phenomena and processes; coverage of a variety of forecasting techniques, with an emphasis on adaptive, regression, and Box-Jenkins procedures.

Pre-req: STA 545 with a minimum grade of C.

Grade Mode: Normal Grading Mode
STA 664 Bayesian Statistics3 Credit hours   

An introduction to Bayesian Statistics with focus on Bayesian Modeling, inference and Data Analysis. Applications will be studies with appropriate statistical software.

Pre-req: STA 545 with a minimum grade of D.

Grade Mode: Normal Grading Mode
STA 665 Advanced Stat Learning3 Credit hours   

An overview of concepts and techniques in advanced statistical learning. Topics include supervised/unsupervised learning, kernel smoothing methods, trees, random forests, association rules, neural networks and support vector machines.

Pre-req: STA 535 with a minimum grade of D.

Grade Mode: Normal Grading Mode
STA 670 Independent Study1-4 Credit hours   

A faculty supervised, individualized course of study of a topic in statistics.

Grade Mode: Normal Grading Mode
STA 681 Thesis1-6 Credit hours   

Investigate a theoretical or applied statistics problem under faculty mentorship.

Attributes: No Textbook Required
Grade Mode: Normal Grading Mode
STA 690 Special Topics1-4 Credit hours   

Courses on special topics in statistics not listed among the current course offerings.

Grade Mode: Normal Grading Mode