Modern methods of computational statistics and their application to both practical problems and research. S-Plus and SAS programming with emphasis on S-Plus. S-Plus objects and functions, and SAS procedures. Topics include data management and graphics, Monte Carlo and simulation, bootstrapping, numerical optimization in statistics, linear and generalized linear models, nonparametric regression, time series analysis.
2 reviews
Average rating: 3.00
8 reviews
Average rating: 2.88
0 reviews
Average rating: Not yet rated
Average GPA: 3.64 between 135 students
"W"s are considered to be 0.0 quality points. "Other" grades are not factored into the average GPA calculation.