Add to ORKGA univariate logistic distribution can be specified by considering a suitable form for the odds in favor of a failure against survival. This concept is extended to the bivariate case and a class of distributions, indexed by a parameter of association, having given marginals is proposed. Some properties of the proposed class of distributions are studied.Bivariate logistic logistic odds function association quadrant dependent regression dependent quantile regression tail decreasing multivariate Gumbel-Morgenstern distributions
Log-concavity of a joint survival function is proposed as a model for bivariate increasing failure r...
Log-concavity of a joint survival function is proposed as a model for bivariate increasing failure r...
AbstractWe call a set of univariate distributions with the same mathematical form but different para...
AbstractA univariate logistic distribution can be specified by considering a suitable form for the o...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
A new class of bivariate survival distributions is constructed from a given family of survival distr...
In this paper, the most general bivariate distribution with Lognormal conditionals is fully characte...
We call a set of univariate distributions with the same mathematical form but different parameter va...
In this paper, a family of bivariate distributions whose marginals are weighted distributions in the...
The Cambanis family of bivariate distributions was introduced as a generalization of the Farlie-Gumb...
The likelihood of a set of binary dependent outcomes, with or without explanatory variables, is expr...
The Cambanis family of bivariate distributions was introduced as a generalization of the Farlie-Gumb...
Concomitants of record values, Morgenstern family of distributions, Morgenstern type bivariate logis...
AbstractWe investigate the properties of a class of discrete multivariate distributions whose univar...
In this paper, we introduce a new family of multivariate distributions, so called the multivariate p...
Log-concavity of a joint survival function is proposed as a model for bivariate increasing failure r...
Log-concavity of a joint survival function is proposed as a model for bivariate increasing failure r...
AbstractWe call a set of univariate distributions with the same mathematical form but different para...
AbstractA univariate logistic distribution can be specified by considering a suitable form for the o...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
A new class of bivariate survival distributions is constructed from a given family of survival distr...
In this paper, the most general bivariate distribution with Lognormal conditionals is fully characte...
We call a set of univariate distributions with the same mathematical form but different parameter va...
In this paper, a family of bivariate distributions whose marginals are weighted distributions in the...
The Cambanis family of bivariate distributions was introduced as a generalization of the Farlie-Gumb...
The likelihood of a set of binary dependent outcomes, with or without explanatory variables, is expr...
The Cambanis family of bivariate distributions was introduced as a generalization of the Farlie-Gumb...
Concomitants of record values, Morgenstern family of distributions, Morgenstern type bivariate logis...
AbstractWe investigate the properties of a class of discrete multivariate distributions whose univar...
In this paper, we introduce a new family of multivariate distributions, so called the multivariate p...
Log-concavity of a joint survival function is proposed as a model for bivariate increasing failure r...
Log-concavity of a joint survival function is proposed as a model for bivariate increasing failure r...
AbstractWe call a set of univariate distributions with the same mathematical form but different para...