The University of Arizona
Map Home
Loading...
Adjust height of sidebar
KMap

Topic:nonparametric methods

nonparametric methods

Since 2021, aggregated from related topics

About

    Nonparametric methods are a set of statistical techniques that do not rely on specific distributional assumptions about the data being analyzed. Instead of assuming a specific functional form for the data, nonparametric methods use rank-based or data-driven approaches to make inferences. These methods are often used when the underlying data does not meet the assumptions of traditional parametric tests or when the sample size is too small to assume normality. Nonparametric methods are widely used in fields such as biology, psychology, sociology, and environmental science. Some common nonparametric tests include the Mann-Whitney U test, Kruskal-Wallis test, Wilcoxon signed-rank test, and Spearman's rank correlation.

Related Topics

People

View more people