distribution-free method

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distribution-free method

[‚dis·trə′byü·shən ‚frē ‚meth·əd]
(statistics)
Any method of inference that does not depend on the characteristics of the population from which the samples are obtained.
References in periodicals archive ?
These characteristics allow the use of Non-Parametric Statistics, which does not require a population model, does not require rigorous or numerous hypotheses about the parameters, and can be applied to small samples.
All of the measures of correlation with the standard instability index are positive, and the two non-parametric statistics show significance at confidence levels around 90 percent.
2 Many other templates can be created, even for calculating non-parametric statistics, if one knows the formulas that are necessary and how to organize the spreadsheet.
Lin and Binn's (1988) superiority index (Pi) which the genotypes of greatest interest would be those with the lowest Pi values, Two sets of non-parametric statistics to estimate stability were used in this study.
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