probability distributions. Non-parametric (or distribution-free) inferential statistical methods are mathematical procedures for statistical hypothesis testing...

models are wrong Inverse problem Parametric model Sufficient statistic Geisser, S. (2006), Modes of Parametric Statistical Inference, John Wiley & Sons Cox...

dichotomous. Assumptions, parametric and non-parametric: There are two groups of statistical tests, parametric and non-parametric. The choice between these...

statistics, a parametric model or parametric family or finite-dimensional model is a particular class of statistical models. Specifically, a parametric model...

Statistical inference is the process of using data analysis to infer properties of an underlying distribution of probability. Inferential statistical...

statistics, order statistics are among the most fundamental tools in non-parametric statistics and inference. Important special cases of the order statistics...

for the use of non-parametric methods is simplicity. In certain cases, even when the use of parametric methods is justified, non-parametric methods may be...

methods with good performance when there are small departures from a parametric distribution. For example, robust methods work well for mixtures of two...

estimation Nuisance parameter Parametric equation Pareto principle Rule of three (statistics) State estimator Statistical signal processing Sufficiency...

make statistical inferences without assuming a particular parametric family of probability distributions. In that case, one speaks of non-parametric statistics...