The paper is devoted to the estimation of characteristic limits (statistical criteria) for detection small amounts ionizing radiation by a measuring device under conditions natural radioactivity background environment: decision threshold, limit, minimum detectable activity and confidence interval. assessment procedures were carried out in accordance with national harmonized standard DSTU ISO 11...

An image based system implementing a wellknown diagnostic method is disclosed for the automatic detection of melanomas as support to clinicians. The software procedure is able to recognize automatically the skin lesion within the digital image, measure morphological and chromatic feature, carry out a suitable classification for the detection of structural dermoscopic criteria provided by the 7-...

Criteria for use in population surveys to study the epidemiology of ankylosing spondylitis were proposed at the CIOMS Symposium in Rome in 1961 (Kellgren, Jeffrey, and Ball, 1963), and a revised set of criteria were introduced at the next symposium in New York in 1966 (Bennett and Wood, 1968). The Rome and New York criteria are shown in Tables I and II respectively. The Rome criteria specify th...

Implicative statistics criteria have proven to be valuable interestingness measures for association rules. Here we highlight their interest for classification trees. We start by showing how Gras’ implication index may be defined for rules derived from an induced decision tree. This index is especially helpful when the aim is not classification itself, but characterizing the most typical conditi...

When selecting a statistical distribution to describe a set of data there are a number of criteria that can be used. Rather than select one of these criteria, we look at how multiple criteria can be combined to make the final selection. Two approaches have previously been presented in Computers and Industrial Engineering. We review these, and present a simpler method based on multiplicative agg...

The basic problem for developers of monitoring systems for technological processes is to exclude the false alarms. False alarms generate the interruption of technological process and lead to the manual analysis of the reasons of the wrong system behavior. In the paper it is offered to use the statistical techniques with probabilities of false alarms equal to zero. This class of statistical deci...

Machine translation evaluation methods are highly necessary in order to analyze the performance of translation systems. Up to now, the most traditional methods are the use of automatic measures such as BLEU or the quality perception performed by native human evaluations. In order to complement these traditional procedures, the current paper presents a new human evaluation based on the expert kn...

This paper proposes the use of statistical criteria for early stopping Support Vector Machines, both for regression and classification problems. The method basically stops the minimization of the primal functional when moments of the error signal (up to forth order) become stationary, rather than according to a tolerance threshold of primal convergence itself. This simple strategy induces lower...

This paper studies the problem of treatment choice between a status quo treatment with a known outcome distribution and an innovation whose outcomes are observed only in a representative finite sample. I evaluate statistical decision rules, which are functions that map sample outcomes into the planner’s treatment choice for the population, based on regret, which is the expected welfare loss due...