Distributionsfria
Distributionsfria refers to statistical methods whose sampling distribution does not depend on a specific population distribution. In English, this is often called nonparametric or distribution-free statistics. Such methods typically use ranks, signs, or other order information rather than the actual data values, making them robust to outliers and suitable for ordinal data or non-normal distributions. They require fewer assumptions about the form of the underlying distribution, but may lose efficiency when the data do come from a well-specified parametric model.
Common distribution-free techniques include the sign test and the Wilcoxon signed-rank test for paired data, the
Advantages include applicability to small samples, handling of ordinal data, and resistance to outliers, while limitations