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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
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