The study of system safety and reliability has always been vital for the quality and
manufacturing engineers of varying fields for which generally the continuous probability …

The present study introduces a new multivariate mixture cure rate model based on the Chen
probability distribution to model recurrent event data in the presence of cure fraction. In this …

In recent years, the use of copulas has grown rapidly, especially in survivalanalysis. In this
paper, we introduce a bivariate modied Weibull distribu-tion derived from the Farlie {Gumbel …

Bivariate lifetime distributions are of great importance in studies related to interdependent
components, especially in engineering applications. In this paper, we introduce two bivariate …

The Copula approach for continuous variables is highly developed, while discrete ones are
underdeveloped due to computational difficulties and sometimes algorithm failure to …

Under a context of survival lifetime analysis, we introduce in this paper Bayesian and
maximum likelihood approaches for the bivariate Basu-Dhar geometric model in the …

In this paper, it is introduced a new parametric distribution to be used in multivariate lifetime
data analysis as an alternative for the use of some existing multivariate parametric models …

Multivariate survival data are presented in the literature in all shapes and sizes. A common
situation is the presence of correlated lifetimes when an individual is followed-up for the …

Multivariate survival data are found in several studies, in particular, studies where there are
two observed lifetimes associated to the same individual, and in some cases there exists a …

Peres, MVO Bivariate distributions based on copulas functions: developments and
applications in medical studies. 2021. 81 p. Thesis. Ribeirão Preto: Ribeirão Preto Medical …