Diffusion models (Ratcliff, 1978) make it possible to identify and separate different cognitive processes underlying responses in binary decision tasks (e.g., the speed of information accumulation vs. the degree of response conservatism). This becomes possible because of the high degree of information utilization involved. Not only mean response times or error rates are used for the parameter e...

A theme of recent side-channel research has been the quest for distinguishers which remain e ective even when few assumptions can be made about the underlying distribution of the measured leakage traces. The Kolmogorov-Smirnov (KS) test is a well known non-parametric method for distinguishing between distributions, and, as such, a perfect candidate and an interesting competitor to the (already ...

The importance of normal distribution is undeniable since it is an underlying assumption of many statistical procedures such as t-tests, linear regression analysis, discriminant analysis and Analysis of Variance (ANOVA). When the normality assumption is violated, interpretation and inferences may not be reliable or valid. The three common procedures in assessing whether a random sample of indep...

This paper proposes and proves the important equivalence between the Gini index and the area under the Kolmogorov-Smirnov (KS) distribution curve. The proof’s rationale is similar to that used in the proof of equivalence between AUC_ROC and AUC_KS. But different from that, this one uses a transformation that preserves the 1-to-1 correspondence between the ideal classifier on the KS and Lorenz c...

many commonly used statistical methods require that the population distribution be nearly normal. unfortunately, in some papers the one-sample kolmogorov-smirnov test has been used for testing normality while the assumptions of applying this test are not satisfied. to conduct this test, it is assumed that the population distribution is fully specified. in practical situation where the mean and ...

introduction: non-uniformity test is essentially the only required daily qc procedure in nuclear medicine practice. noise creates statistical variation or random error in a flood image. non-uniformity on the other hand does not have statistical nature and may be regarded as systemic error. the present methods of non-uniformity calculation do not distinguish between these two types of error. the...

Visualization of the website clickstream data has been a pivotal process as it aids in defining the user preferences. It includes the processes of gathering, investigating and reporting about the web pages that are being viewed by the users. Clickstream visualization is primarily employed by organizations which focuses on gaining the user preferences and improve their products or services towar...