Methods
Non-parametric (or distribution-free) inferential statistical methods are mathematical procedures for statistical hypothesis testing which, unlike parametric statistics, make no assumptions about the probability distributions of the variables being assessed. The most frequently used tests include
- Anderson–Darling test
- Statistical Bootstrap Methods
- Cochran's Q
- Cohen's kappa
- Friedman two-way analysis of variance by ranks
- Kaplan–Meier
- Kendall's tau
- Kendall's W
- Kolmogorov–Smirnov test
- Kruskal-Wallis one-way analysis of variance by ranks
- Kuiper's test
- Logrank Test
- Mann–Whitney U or Wilcoxon rank sum test
- McNemar's test
- median test
- Pitman's permutation test
- Rank products
- Siegel–Tukey test
- Spearman's rank correlation coefficient
- Wald–Wolfowitz runs test
- Wilcoxon signed-rank test.
Read more about this topic: Non-parametric Statistics
Famous quotes containing the word methods:
“It would be some advantage to live a primitive and frontier life, though in the midst of an outward civilization, if only to learn what are the gross necessaries of life and what methods have been taken to obtain them.”
—Henry David Thoreau (1817–1862)
“We can best help you to prevent war not by repeating your words and following your methods but by finding new words and creating new methods.”
—Virginia Woolf (1882–1941)
“If men got pregnant, there would be safe, reliable methods of birth control. They’d be inexpensive, too.”
—Anna Quindlen (b. 1952)