Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...

Non-parametric analysis failed to reach significant values for any of the analysed markers (data not shown). The highest NPL score was obtained for marker D10S537 which gave a NPL score of 1.13 ...

Parametric tests make assumptions that aspects of the data follow some sort of theoretical probability distribution. Non-parametric tests or distribution free methods do not, and are used when the ...

Under parametric statistics, data are often assumed to come from a ... the distribution of illness frequency is clearly non-normal, being right-skewed and outlier-prone. Thus, rather than use ...

The purpose of this paper is to compare in-sample and out-of-sample performances of three parametric and non-parametric early warning systems (EWS) for currency crises in emerging market economies ...

The Wilcoxon signed rank test, which is also known as the Wilcoxon signed rank sum test and the Wilcoxon matched pairs test, is a non-parametric statistical test used to compare two dependent samples ...