Nonparametric 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. These methods are particularly useful for analyzing complex datasets where traditional assumptions may not hold, allowing for greater flexibility and robustness in estimation and inference.
