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Nonparametric statistics
- Introduction
to modern nonparametric statistics
by James Higgins (2004). Undergraduate level text covering standard
methods (1-, 2- and k-sample methods; tests for trends) plus topics
such as multivariate tests, analysis of censored data, nonparametric
bootstrap methods, smoothing and robust model fitting
- All
of nonparametric statistics
by Larry Wasserman (2005). Graduate level text covering the bootstrap,
delta method, nonparametric regression, density estimation and
smoothing, orthogonal functions & wavelets, minimax estimation,and
confidence sets.
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