STAT 355 - Statistical Theory

Cross-Listed as MATH 355

An important course for students considering graduate work in statistics or biostatistics, this course explores the mathematical theory underlying modern statistical techniques. Topics include the theory behind: parameter estimation, evaluation of estimator properties, hypothesis testing, confidence intervals, and linear regression. Special topics vary and may include: tests of independence, resampling techniques, introductory Bayesian concepts, and nonparametric methods. Prerequisite(s): STAT 155, MATH 236, MATH 354/STAT 354. Spring semester only. (4 Credits)