August 2013
Intermediate to advanced
195 pages
5h 45m
English
Content preview from Nonparametric Methods in Statistics with SAS Applications
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K18845
Nonparametric Methods in Statistics with SAS Applications
explains how to apply a variety of nonparametric techniques to
statistical data. It starts with the tests of hypotheses and moves on to
regression modeling, time-to-event analysis, density estimation, and
resampling methods.
The text begins with classical nonparametric hypotheses testing,
including the sign, Wilcoxon sign-rank and rank-sum, Ansari-Bradley,
Kolmogorov-Smirnov, Friedman rank, Kruskal-Wallis H, Spearman
rank correlation coefcient, and Fisher exact tests. It then discusses
smoothing techniques (loess and thin-plate splines) for classical
nonparametric regression as ...
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