The Mann-Whitney U: A Test for Assessing Whether Two Independent Samples Come from the Same Distribution

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

Mann-Whitney Test for Associated Sequences

Let {X1, . . . , Xm} and {Y1, . . . , Yn} be two samples independent of each other, but the random variables within each sample are stationary associated with one dimensional marginal distribution functions F and G, respectively. We study the properties of the classical WilcoxonMann-Whitney statistic for testing for stochastic dominance in the above set up.

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...

Judging Whether Multiple Silhouettes Can Come from the Same Object

We consider the problem of recognizing an object from its silhouette. We focus on the case in which the camera translates, and rotates about a known axis parallel to the image, such as when a mobile robot explores an environment. In this case we present an algorithm for determining whether a new silhouette could come from the same object that produced two previously seen silhouettes. In a basic...

Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test

An accurate and early diagnosis of the Alzheimer’s Disease (AD) is of fundamental importance for the development of effective treatments to palliate the effects of the disease. Computer Aided Diagnosis (CAD) allows physicians to detect early stages of the disease, and functional brain images have been proved to be very useful in this task. This paper presents a new CAD system that consists of t...