STATS 200:
Introduction to Theoretical Statistics
Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of hypotheses; Neyman-Pearson theory. Bayesian analysis; maximum likelihood, large sample theory. Prerequisite: STATS 118. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites. Please note that students must enroll in one section in addition to the main lecture.
Terms: Aut, Win
| Units: 3-4