nonparametric statistics

Analysis of data obtained by ranking commonly requires non-parametric statistics.

Therefore, as a welcome by-product, the theory also provides a formal framework for models used in robust statistics and non-parametric statistics.

Permutation tests are a subset of non-parametric statistics.

Wolfowitz's main contributions were in the fields of statistical decision theory, non-parametric statistics, sequential analysis, and information theory.

This test can usually be done with non-parametric structural statistics.

L-estimators play a fundamental role in many approaches to non-parametric statistics.

As an expert on non-parametric statistics, he wrote over 50 articles and six books.

This analysis uses non-parametric statistics, since the data may not follow a normal distribution.

Applications of the theory of empirical processes arise in non-parametric statistics.

Together with rank statistics, order statistics are among the most fundamental tools in non-parametric statistics and inference.