COGS 203B
Statistical Models for Cognitive Sciences II
An introduction to statistical estimation and statistical inference. Topics include sufficiency and the Rao-Blackwell Theorem, completeness and the Lehmann-Scheffe Theorem. The method of maximum likelihood is explored in some detail. Inference in linear models covers regression and analysis of variance.
Topics
- sufficiency and the Rao-Blackwell Theorem
- completeness and the Lehmann-Scheffe Theorem
Topics explicitly listed in official catalogue description
Prerequisites & course information
An introduction to statistical estimation and statistical inference. Topics include sufficiency and the Rao-Blackwell Theorem, completeness and the Lehmann-Scheffe Theorem. The method of maximum likelihood is explored in some detail. Inference in linear models covers regression and analysis of variance.
Sources
- Course catalogue ↗2026-2027