There will be regular homework, including assignments which require the use of MTS, two midterms, and a final exam. Introduction to Probability. See Mathematics 425 . 426. Introduction to Mathematical Statistics. This course covers the basic ideas of statistical inference, including sampling distributions, estimation, confidence intervals, hypothesis testing, regression, analysis of variance, nonparametric testing, and Bayesian inference.
Weekly problem sets, two hourly exams, and one final exam.
Seminar on Statistical Consulting. May be repeated for a total of 8 credits. 426 or 500, and CS 380 or 283, or permission of instructor. Monte Carlo procedures, generation of random numbers, computation of estimators, linear and non-linear problems, resampling algorithms, splines, other special topics. Students with credit for Math.