BIOSTAT685: Elements of Nonparametric Statistics
- Graduate level
- Winter term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Braun, Thomas (Residential);
- Prerequisites: Biostat 602 or STAT 511, and Biostat 650 or Perm. Instr
- Description: First half covers theory and applications of rank and randomization tests: sampling and randomization models, randomization t-test, Wilcoxon rank sum and signed rank tests, Kruskal-Wallis test, asymptotic result under randomization, relative efficiency; second half covers theory and applications of nonparametric regression: smoothing methods, including kernel estimators, local linear regression, smoothing splines, and regression splines, methods for choosing the smoothing parameter, including unbiased risk estimation and cross-validation, introduction to additive models.
- Syllabus for BIOSTAT685