A flexible class of multivariate distributions for continuous lifetimes is proposed. The distribution is defined in terms of the age-at-death of m siblings. The expression for the joint density is derived using classical results from mathematical demography. The parameters of the distribution are the age-specific birth and death rates, in addition to a vector of relative death times for the m siblings. For the case of constant birth and death rates we are able to derive an explicit expression for the bivariate sibling density, which is proven to be MTP2, and hence has positive dependence. Further, we show that a special case of the sibling distribution belongs to the Block-Basu class of multivariate distribution. In the general case, with a...
Stochastic mortality, i.e. modelling death arrival via a jump process with stochastic intensity, is ...
In this paper, fundamental results of the joint distribution of the bivariate exponential distributi...
Abstract: The insurance industry recently experienced a high demand for life in-surance policies iss...
A flexible class of multivariate distributions for continuous lifetimes is proposed. The distributio...
Do siblings of centenarians tend to have longer life spans? To answer this question, life spans of 1...
Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
In this paper, a new class of survival distributions based on the model of dependent lives and propo...
Abstract: In this paper, we are interested in the dependence between lifetimes based on a joint surv...
A mixture model in multivariate survival analysis is presented, whereby heterogeneity among subjects...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
Distributions determined by non-negative Lévy processes, which include the power variance function (...
Freund [1961] introduced a bivariate extension of the exponential distribution that provides a model...
Positive ageing denotes the adverse effect of age on random life times (survival or failure times) o...
AbstractNew classes of multivariate survival distribution functions based on monotonic behaviour of ...
Stochastic mortality, i.e. modelling death arrival via a jump process with stochastic intensity, is ...
In this paper, fundamental results of the joint distribution of the bivariate exponential distributi...
Abstract: The insurance industry recently experienced a high demand for life in-surance policies iss...
A flexible class of multivariate distributions for continuous lifetimes is proposed. The distributio...
Do siblings of centenarians tend to have longer life spans? To answer this question, life spans of 1...
Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their...
AbstractA new class of bivariate survival distributions is constructed from a given family of surviv...
In this paper, a new class of survival distributions based on the model of dependent lives and propo...
Abstract: In this paper, we are interested in the dependence between lifetimes based on a joint surv...
A mixture model in multivariate survival analysis is presented, whereby heterogeneity among subjects...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
Distributions determined by non-negative Lévy processes, which include the power variance function (...
Freund [1961] introduced a bivariate extension of the exponential distribution that provides a model...
Positive ageing denotes the adverse effect of age on random life times (survival or failure times) o...
AbstractNew classes of multivariate survival distribution functions based on monotonic behaviour of ...
Stochastic mortality, i.e. modelling death arrival via a jump process with stochastic intensity, is ...
In this paper, fundamental results of the joint distribution of the bivariate exponential distributi...
Abstract: The insurance industry recently experienced a high demand for life in-surance policies iss...