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.
Standard Course (40)
Credits
1
Prerequisite
224 and 351.
Offered
Spring