nonparametric

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non·par·a·met·ric

(non'par-ă-met'rik),
A group of statistical maneuvers that can be applied effectively to nonnormal or nongaussian data that is nonnormal or nongaussian in distribution.

non·par·a·met·ric

(non-par'ă-met'rik)
A group of statistical maneuvers that can be applied effectively to data that are nonnormal or nongaussian in distribution.

nonparametric

said of statistical techniques which do not depend on the data having a normal or some other definable distribution.
References in periodicals archive ?
The proposal to use Non-Parametric Statistics also has a complementarist perspective, without loss of the qualitative properties that are well-defined in Didactic Engineering.
For example, the Wilcoxon (Before and After) test of Classical Non-Parametric Statistics can at the same time be considered a methodology that is equivalent to the falsification methodology defended by Popper.
The data are analyzed using quantitative techniques, such as those involving logistic regression and parametric and non-parametric statistics, and mini-case studies.
The 22 new statistical functions are focused in two primary areas: time series analysis & forecasting and non-parametric statistics.

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