Introduction to Theoretical Statistics
Lecture
Main Campus
Course Description
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 or equivalent. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.
STATS 200
Units: 3–4
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Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None