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:
“All good conversation, manners, and action, come from a spontaneity which forgets usages, and makes the moment great. Nature hates calculators; her methods are saltatory and impulsive.”
—Ralph Waldo Emerson (18031882)
“Cold and hunger seem more friendly to my nature than those methods which men have adopted and advise to ward them off.”
—Henry David Thoreau (18171862)
“The ancient bitter opposition to improved methods [of production] on the ancient theory that it more than temporarily deprives men of employment ... has no place in the gospel of American progress.”
—Herbert Hoover (18741964)