STATS200
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Introduction to Theoretical Statistics
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.
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
4
Course Repeatable for Degree Credit?
No
Course Component
Discussion
Enrollment Optional?
No
Course Component
Lecture
Enrollment Optional?
No
Does this course satisfy the University Language Requirement?
No
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STATS200
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antirequisite
for:
STATS200
is a
completion requirement
for:
STATS200
is a
prerequisite
for:
STATS200
is a
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Programs
STATS200
is a
completion requirement
for:
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- (from the following course set: )
- (from the following course set: )
- (from the following course set: )
- (from the following course set: )
- (from the following course set: )
STATS200
is a
prerequisite
for: