Exploring new horizons: Advancing data analysis in kidney patient infection rates and UEFA champions league scores using bivariate kavya–manoharan …
In survival analyses, infections at the catheter insertion site among kidney patients using
portable dialysis machines pose a significant concern. Understanding the bivariate infection …
portable dialysis machines pose a significant concern. Understanding the bivariate infection …
Bivariate lifetime models in presence of cure fraction: a comparative study with many different copula functions
In time-to-event studies it is common the presence of a fraction of individuals not expecting
to experience the event of interest; these individuals who are immune to the event or cured …
to experience the event of interest; these individuals who are immune to the event or cured …
On a bivariate XGamma distribution derived from Copula
In this paper, a new bivariate XGamma (BXG) distribution is presented using Farlie-Gumbel-
Morgenstern (FGM) copula. We derive the expressions for conditional distribution …
Morgenstern (FGM) copula. We derive the expressions for conditional distribution …
[HTML][HTML] The impact on the properties of the EFGM copulas when extending this family
S Saminger-Platz, A Kolesárová, A Šeliga… - Fuzzy Sets and …, 2021 - Elsevier
Several extensions of the family of (bivariate) Eyraud-Farlie-Gumbel-Morgenstern copulas
(EFGM copulas) are considered. Some of them are well-known from the literature, others …
(EFGM copulas) are considered. Some of them are well-known from the literature, others …
On bivariate inverse Lindley distribution derived from Copula
In the last few decades, copula distribution has become one of the most popular methods to
construct bivariate distributions in literature. This paper introduces a new bivariate Inverse …
construct bivariate distributions in literature. This paper introduces a new bivariate Inverse …
A Bayesian inference approach for bivariate Weibull distributions derived from Roy and Morgenstern methods
RP de Oliveira, MV de Oliveira Peres… - Statistics, Optimization …, 2021 - iapress.org
Bivariate lifetime distributions are of great importance in studies related to interdependent
components, especially in engineering applications. In this paper, we introduce two bivariate …
components, especially in engineering applications. In this paper, we introduce two bivariate …
[HTML][HTML] Bivariate Length-Biased Exponential Distribution under Progressive Type-II Censoring: Incorporating Random Removal and Applications to Industrial and …
In this paper, we address the analysis of bivariate lifetime data from a length-biased
exponential distribution observed under Type II progressive censoring with random …
exponential distribution observed under Type II progressive censoring with random …
The Bivariate defective Gompertz distribution based on Clayton Copula with applications to medical data
In medical studies, it is common the presence of a fraction of patients who do not experience
the event of interest. These patients are people who are not at risk of the event or are …
the event of interest. These patients are people who are not at risk of the event or are …
A new bivariate survival model with a cured fraction: a mixed Poisson frailty–copula approach
M Rouzbahani, MR Akhoond, R Chinipardaz - Japanese Journal of …, 2024 - Springer
Bivariate survival data are found in several studies, in particular, studies where there are two
observed lifetimes associated with the same individual, and in some cases, there exists a …
observed lifetimes associated with the same individual, and in some cases, there exists a …
On bivariate Teissier model using Copula: dependence properties, and case studies
S Tyagi - International Journal of System Assurance Engineering …, 2024 - Springer
To precisely represent bivariate continuous variables, this work presents an innovative
approach that emphasizes the interdependencies between the variables. The technique is …
approach that emphasizes the interdependencies between the variables. The technique is …