Nonparametric Methods

Nonparametric methods are statistical techniques that do not assume a fixed form or specific parameters for the data’s underlying distribution. Instead, they analyze data directly, making fewer assumptions about its shape or structure. This flexibility allows them to be effective with diverse data types, especially when the data doesn’t fit traditional models or when the sample size is small. They are commonly used for tasks like comparing groups or detecting patterns without relying on predefined formulas, providing robust insights when the data is complex or unknown in distribution.