AbstractA general approach for the development of multivariate survival models, based on a set of given marginal survivals, is presented. Preservation of IFR and IFRA properties and the nature of dependence among the variables are examined, and a recursive relation is suggested to obtain the resultant density function. In particular, an absolutely continuous Weibull distribution is derived and a few of its properties are studied
We introduce a general class of continuous univariate distributions with positive support obtained b...
Because of the numerous applications, characterization of multivariate survival distributions is sti...
AbstractA large number of characterizations of univariate exponential distributions are known; these...
AbstractA general approach for the development of multivariate survival models, based on a set of gi...
In this paper, fundamental results of the joint distribution of the bivariate exponential distributi...
Multivariate survival analysis involves the study of failure times, including the influence of covar...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
AbstractA univariate logistic distribution can be specified by considering a suitable form for the o...
Freund [1961] introduced a bivariate extension of the exponential distribution that provides a model...
A new class of bivariate survival distributions is constructed from a given family of survival distr...
In this paper, fundamental results of the joint distribution of the bivariate exponential distributi...
AbstractRandom variables X1 ,…, Xn are said to have a joint distribution with Weibull minimums after...
AbstractNew classes of multivariate survival distribution functions based on monotonic behaviour of ...
In this paper, a new class of survival distributions based on the model of dependent lives and propo...
A Bivariate survival model is constructed.This model is based on a frailty model that acts multiplic...
We introduce a general class of continuous univariate distributions with positive support obtained b...
Because of the numerous applications, characterization of multivariate survival distributions is sti...
AbstractA large number of characterizations of univariate exponential distributions are known; these...
AbstractA general approach for the development of multivariate survival models, based on a set of gi...
In this paper, fundamental results of the joint distribution of the bivariate exponential distributi...
Multivariate survival analysis involves the study of failure times, including the influence of covar...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
AbstractA univariate logistic distribution can be specified by considering a suitable form for the o...
Freund [1961] introduced a bivariate extension of the exponential distribution that provides a model...
A new class of bivariate survival distributions is constructed from a given family of survival distr...
In this paper, fundamental results of the joint distribution of the bivariate exponential distributi...
AbstractRandom variables X1 ,…, Xn are said to have a joint distribution with Weibull minimums after...
AbstractNew classes of multivariate survival distribution functions based on monotonic behaviour of ...
In this paper, a new class of survival distributions based on the model of dependent lives and propo...
A Bivariate survival model is constructed.This model is based on a frailty model that acts multiplic...
We introduce a general class of continuous univariate distributions with positive support obtained b...
Because of the numerous applications, characterization of multivariate survival distributions is sti...
AbstractA large number of characterizations of univariate exponential distributions are known; these...