The two-sample Kolmogorov-Smirnov (KS) test is often used to decide whether two random samples have the same statistical distribution. A popular modification of the KS test is to use a signed version of the KS statistic to infer whether the values of one sample are statistically larger than the values of the other. The underlying hypotheses of the KS test are intrinsically incompatible with thi...

In statistics, two-sample tests are used to determine whether two samples have been drawn from the same population. A widely used test as such is the Kolmogorov-Smirnov two-sample test. There are other distribution-free tests which might be applied in similar occasions. In this article, we describe a two-sample omnibus test introduced by Epps and Singleton, which has – albeit being distribution...

We present a two-dimensional version of the classical one-dimensional Kolmogorov– Smirnov (K-S) test, extending an earlier idea due to Peacock (1983) and an implementation proposed by Fasano & Franceschini (1987). The two-dimensional K-S test is used to optimise the goodness of fit in an iterative source-detection scheme for astronomical images. The method is applied to a ROSAT/HRI x-ray image ...

cepstral coeffients (MFCCs) based speech features. In the case of closed-set ASI, the identity (Id) of the unknown speaker is assigned to the Id of that reference speaker to whom the number of MFCCs pair having same distributions is maxima with 88.26% accuracy at 8% level of significance. In open-set ASI, after determining the identity of the unknown speaker it is verified whether the unknown s...