MATH 462
Modern Nonparametric Methods in Statistics
Classical and modern methods of nonparametric statistics; order and rank statistics; tests based on runs, signs, ranks, and order statistics; distribution free statistical procedures for means, variances, correlations, and trends; relative efficiency; KolmogorovSmirnov statistics; statistical applications of Brownian process; modern techniques such as robust methods, nonparametric smoothing, and bootstrapping; additional topics such as nonparametric regression and dimension reduction. Prerequisites: ( MATH 334 or STAT 334) and ( MATH 338 or STAT 338)
Sources
- Course catalogue ↗2026-2027