A Two and More Independent Factor Form of the Wilcoxon-Mann-Witney Test, Extendable to Other Permutation-Based Tests

A Two and More Independent Factor Form of the Wilcoxon-Mann-Witney Test, Extendable to Other Permutation-Based Tests

This work has its origin in the Fellowship thesis for the Royal College of Veterinary Surgeons of one of us. We would like to thank the thesis supervisor Peter Lee for his invariably prompt and helpful criticisms of this work. We would like to thank Niclas Sjogren (latterly of AstraZeneca Statistics Department) for the fruitful discussions of the ideas from which this work came. Mr. Christopher...

Comparing Two Independent Groups Via a Quantile Generalization of the Wilcoxon-Mann-Whitney Test

a synchronic and diachronic approach to the change route of address terms in the two recent centuries of persian language

terms of address as an important linguistics items provide valuable information about the interlocutors, their relationship and their circumstances. this study was done to investigate the change route of persian address terms in the two recent centuries including three historical periods of qajar, pahlavi and after the islamic revolution. data were extracted from a corpus consisting 24 novels w...

An improved ranked set two-sample Mann-Whitney-Wilcoxon test

The authors present an improved ranked set two-sample Mann-Whitney-Wilcoxon test for a location shift between samples from two distributions F and G. They define a function that measures the amount of information provided by each observation from the two samples, given the actual joint ranking of all the units in a set. This information function is used as a guide for improving the Pitman effic...

When t-tests or Wilcoxon-Mann-Whitney tests won't do.

t-Tests are widely used by researchers to compare the average values of a numeric outcome between two groups. If there are doubts about the suitability of the data for the requirements of a t-test, most notably the distribution being non-normal, the Wilcoxon-Mann-Whitney test may be used instead. However, although often applied, both tests may be invalid when discrete and/or extremely skew data...