Di Crescenzo and Longobardi (2002) has been proposed a measure of uncertainty related to past life namely past entropy. The present paper addresses the question of extending this concept to bivariate set-up and study some properties of the proposed measure. It is shown that the proposed measure uniquely determines the distribution function. Characterizations for some bivariate lifetime models a...

BACKGROUND Endometriosis is a common disease with a heritable component. The collaborative International Endogene Study consists of two data sets (Oxford and Australia) comprising 1176 families with multiple affected. The aim was to investigate whether the apparent concentration of cases in a proportion of families could be explained by one or more rare variants with (near-)Mendelian autosomal ...

Consider linear systems whose matrix and right-hand side vector depend affinelinearly on parameters varying within prescribed intervals. We present a C-XSC [9] implementation of a parametric fixed-point iteration method for the verified enclosure of the parametric solution set. Input data for the system have an entirely numerical representation by dense twodimensional matrices. Some specific fe...

Abstract In present paper, an analysis of the stability behaviour ideal efficient solutions to parametric vector optimization problems is conducted. A sufficient condition for existence locally perturbed and their nearness a given reference value provided by refining recent results on theory parameterized set-valued inclusions. More precisely, Lipschitz lower semicontinuity property solution ma...

We present three algorithms in this paper: the first algorithm solves zero-dimensional parametric homogeneous polynomial systems with single exponential time in the number n of the unknowns, it decomposes the parameters space into a finite number of constructible sets and computes the finite number of solutions by parametric rational representations uniformly in each constructible set. The seco...

Based on alpha-stable distributional modelling, we have proposed a set of parametric measures to analyze long-term heart rate variability(HRV). The set, in difference from standard measures, accommodates premature beats in the HRV analysis. It preserves the structure of standard measures, redefines many of them and includes new measures. The rationale of the method was demonstrated by simulatio...

In parametric estimation of covariance function of Gaussian processes, it is often the case that the true covariance function does not belong to the parametric set used for estimation. This situation is called the misspecified case. In this case, it has been shown that, for irregular spatial sampling of observation points, Cross Validation can yield smaller prediction errors than Maximum Likeli...

Most image classiication methods are supervised and use a parametric model of the classes that have to be detected. The models of the diierent classes are trained by means of a set of training regions that usually have to be marked and classiied by a human interpreter. Unsupervised classiication methods are data-driven methods that do not use such a set of training samples. Instead, these metho...