Introduction to a variety of statistical languages and packages and introductory statistical programming in SPLUS. Pseudo-random variate generation. Bootstrapping. Variance reduction techniques. Computation of definite integrals. Model design and simulation, with applications.
This course may not be repeated for credit.
Notes
- Statistics 421 is highly recommended as preparation.
Prerequisite(s)
- Statistics 323 or Mathematics 323; and Mathematics 353 or 381; or consent of the Division.
SyllabusSections
This course will be offered next in
Fall 2014.