Abstrak
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 55. Chapters: Kolmogorov-Smirnov test, Histogram, Kuiper's test, Multivariate kernel density estimation, Resampling, Mann-Whitney U, Cohen's kappa, Fisher's exact test, Spearman's rank correlation coefficient, Ranking, Geometric median, Anderson-Darling test, Kendall tau rank correlation coefficient, ANOVA on ranks, McNemar's test, Wilcoxon signed-rank test, Semiparametric regression, U-statistic, Empirical distribution function, Kernel smoother, Friedman test, Chi-square test, Kernel regression, Variable kernel density estimation, Hodges-Lehmann estimator, Kendall's W, Cramer-von-Mises criterion, Multinomial test, Durbin test, Siegel-Tukey test, Empirical process, Ranklet, Van der Waerden test, Nonparametric regression, Kruskal-Wallis one-way analysis of variance, Binomial test, Mantel test, Sign test, Cochran test, Wald-Wolfowitz runs test, Rank product, Median test, Hoeffding's independence test, Normal score, Concordant pair, Stochastic kernel estimation, Mean integrated squared error, Order of a kernel.