We study the applicability to energy facilities of a model for correlated Poisson processes
generated by self-decomposable jumps. In this context, the implementation of our approach …

In this study we propose an analytical framework to estimate the spatial correlation of daily
flows at two arbitrary locations within a given hydrologic district or river basin. The method …

A class of absolutely continuous bivariate exponential distributions is constructed using the
product form of a first order autoregressive model. Inference methods are proposed for …

This paper introduces a new bivariate exponential distribution, called the Bivariate Affine-
Linear Exponential distribution, to model moderately negative dependent data. The …

This paper discusses parametric analysis of bivariate failure time data, which often occur in
medical studies among others. For this, as in the case of univariate failure time data …

We analyze a method to produce pairs of non-independent Poisson processes M (t), N (t)
from positively correlated, self-decomposable, exponential renewals. In particular, the …

We derive bivariate exponential, gamma, Coxian or hyperexponential distributions. To
obtain a positive correlation, we define a linear relation between the variates X and Y of the …

In the present paper we derive a family of bivariate exponential distributions based on an
extended lack of memory property of a class of univariate distributions. These bivariate …

We introduce a class of absolutely continuous bivariate exponential distributions, generated
from quadratic forms of standard multivariate normal variates. This class is quite flexible and …

SYNOPTIC ABSTRACT In this paper, we proffer a new multivariate gamma distribution with
potential applications in survival and reliability modeling. The multivariate distribution is not …