STA5006

Statistical Computing

Floating point calculations, approximating probabilities and quantiles, random number generation for simulation, variation analysis, computational linear algebra, methods for linear models, simulated annealing, optimization and methods for nonlinear models, static and dynamic graphical methods for data analysis, and presentation graphics. This is not a course in how to use statistical packages. Student must have knowledge of a programming language. Prior (STA 506)

STA506

College of Arts and Sciences