MATH-352 Statistical Theory and Computation

Study of the mathematical theory underlying classical and modern techniques in statistics, including implementation and visualization in the statistical programming language R. Topics include linear models and regression, randomization and bootstrap, Monte Carlo methods and sampling, Bayesian statistics, and topics in applied statistical modeling.

Maximum Enrollment

Standard Course (40)

(Quantitative and Symbolic Reasoning.)

Credits

1

Prerequisite

224 and 351.

Offered

Spring