ST 252 - Mathematical Statistics and Methods

Development of theories of mathematical statistics, including minimum variance unbiased estimation, use of pivot functions, maximum likelihood estimation, and Bayesian estimation; introduction to statistical decision theory; application of methods of statistical inference to areas such as multiple linear regression, design of experiments and analysis of variance, random effects models, and logistic regression.

Prerequisites: MA-150

Full course