This course presents modern statistical concepts and methods developed in a mathematical framework. Topics include statistical inference, point and interval estimation, confidence intervals and hypothesis testing, sufficiency, Neyman-Pearson theory, maximum likelihood, Bayesian analysis, and large sample theory. Additional topics may include decision theory, linear models, and nonparametric statistics.
Prerequisites
None