STAT 360
Statistical Inference
Spring 2020
Division III
Quantitative/Formal Reasoning
This is not the current course catalog
Class Details
How do we estimate unknown parameters and express the uncertainty we have in our estimate? Is there an estimator that works best? Many topics from introductory statistics such as random variables, the central limit theorem, point and interval estimation and hypotheses testing will be revisited and put on a more rigorous mathematical footing. The focus is on maximum likelihood estimators and their properties. Bayesian and computer intensive resampling techniques (e.g., the bootstrap) will also be considered.
The Class:
Format: lecture
Limit: 30
Expected: 30
Class#: 3563
Grading: no pass/fail option, yes fifth course option
Limit: 30
Expected: 30
Class#: 3563
Grading: no pass/fail option, yes fifth course option
Requirements/Evaluation:
problem sets and exams
Prerequisites:
MATH 250, STAT 201 or 202, STAT 341
Enrollment Preferences:
Statistics majors
Distributions:
Division III
Quantitative/Formal Reasoning
Class Grid
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HEADERS
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STAT 360 - 01 (S) LEC Statistical Inference
STAT 360 - 01 (S) LEC Statistical InferenceDivision III Quantitative/Formal ReasoningMR 2:35 pm - 3:50 pm
Schow Library Classroom 030B3563
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