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.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
This is the justification by this article's authors for proposing the use of Non-Parametric Statistics tests as an alternative resource that adds testability to the Didactic Engineering method.
For this reason, the subsequent analysis relied on non-parametric statistics, in particular a one-way ANOVA using the Kruskal-Wallis test, which compares average ranks rather than numerical values.
Non-Parametric Statistics for the Behavioral Sciences, New York, NY: McGraw-Hill, 1956.
Real time perfect data reporting is often unnecessary, and population sampling statistics, outiler analysis, and non-parametric statistics can be effectively brought to bear given non-normal distributions or small sample sizes.
Ranks of the observations is the conventional approach in the area of non-parametric statistics. Using ranks for the analysis of experimental designs has many advantages.
When data is measured in nominal scaling or ordinal scaling, the researcher has turned to non-parametric statistics for hypothesis testing.
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