STA 240B
— Nonparametric Inference
Comprehensive treatment of nonparametric statistical inference, including the most basic materials from classical nonparametrics, robustness, nonparametric estimation of a distribution function from incomplete data, curve estimation, and theory of re-sampling methodology.
Prerequisites & course information
Course Description: Comprehensive treatment of nonparametric statistical inference, including the most basic materials from classical nonparametrics, robustness, nonparametric estimation of a distribution function from incomplete data, curve estimation, and theory of re-sampling methodology. Learning Activities: Lecture 3 hour(s), Term Paper. Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Term Paper. Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027