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×Louisville, Kentucky
This course is a mathematically advanced introduction to theory and methods of nonparametric statistics. The first part of the course covers topics including theory of distribution-free statistics based on ranking, U-statistics, Kolmogorov-Smirnov one-sample statistics, Chi-square goodness-of-fit test, asymptotic relative efficiency. The second part of the course covers nonparametric density and regression estimation based on kernel, splines, local polynomial and wavelet methods
Units: 3.0