Loading Icon

Nonparametric statistics

Nonparametric statistics is the branch of statistics that is not based solely on parametrized families of probability distributions (common examples of parameters are the mean and variance). Nonparametric statistics is based on either being distribution-free or having a specified distribution but with the distribution's parameters unspecified. Nonparametric statistics includes both descriptive statistics and statistical inference. Nonparametric tests are often used when the assumptions of parametric tests are violated.

Metrics Summary

Total Publications
Lifetime
26,023
Prior Five Years
5,498
Total Citations
Lifetime
651,684
Prior Five Years
29,100
Total Scholars
Lifetime
27,087
Prior Five Years
22,239

Institutional Rankings

Global (Worldwide)
Show More
National Institutional Rankings

Publications and Citation History

Publications based on Disciplines

Scholars based on Disciplines

Publications based on Fields

Scholars based on Fields

Highly Ranked Scholars™

Lifetime
Prior Five Years

Highly Cited Publications

Lifetime