Tolong jelaskan mengenai Analysis of similarities dari Statistika nonparametrik

Anderson–Darling test: tests whether a sample is drawn from a given distribution

Statistical bootstrap methods: estimates the accuracy/sampling distribution of a statistic

Cochran's Q: tests whether k treatments in randomized block designs with 0/1 outcomes have identical effects

Cohen's kappa: measures inter-rater agreement for categorical items

Friedman two-way analysis of variance by ranks: tests whether k treatments in randomized block designs have identical effects

Kaplan–Meier:  estimates the survival function from lifetime data, modeling censoring

Kendall's tau: measures statistical dependence between two variables

Kendall's W: a measure between 0 and 1 of inter-rater agreement

Kolmogorov–Smirnov test: tests whether a sample is drawn from a given distribution, or whether two samples are drawn from the same distribution

Kruskal–Wallis one-way analysis of variance by ranks: tests whether > 2 independent samples are drawn from the same distribution

Kuiper's test: tests whether a sample is drawn from a given distribution, sensitive to cyclic variations such as day of the week

Logrank test: compares survival distributions of two right-skewed, censored samples

Mann–Whitney U or Wilcoxon rank sum test: tests whether two samples are drawn from the same distribution, as compared to a given alternative hypothesis.

McNemar's test: tests whether, in 2 × 2 contingency tables with a dichotomous trait and matched pairs of subjects, row and column marginal frequencies are equal

Median test: tests whether two samples are drawn from distributions with equal medians

Pitman's permutation test: a statistical significance test that yields exact p values by examining all possible rearrangements of labels

Rank products: detects differentially expressed genes in replicated microarray experiments

Siegel–Tukey test: tests for differences in scale between two groups

Sign test: tests whether matched pair samples are drawn from distributions with equal medians

Spearman's rank correlation coefficient: measures statistical dependence between two variables using a monotonic function

Squared ranks test: tests equality of variances in two or more samples

Tukey–Duckworth test: tests equality of two distributions by using ranks

Wald–Wolfowitz runs test: tests whether the elements of a sequence are mutually independent/random

Wilcoxon signed-rank test: tests whether matched pair samples are drawn from populations with different mean ranks