Results 81 to 90 of about 187 (166)

A non symmetric extension of Farlie-Gumbel-Morgenstern distributions

, 2013
A copula is a function that completely describes the dependence structure between the marginal distributions. One of the most important parametric family of copulas is the Farlie-Gumbel-Morgenstern (FGM) family. In practical applications this copula has been shown to be somewhat limited. We propose a new non symmetric extension of this family.
openaire   +1 more source

Statistical Inference for a Novel Farlie-Gumbel-Morgenstern Copula-Based Bivariate Odd Rayleigh-Exponential Distribution

Journal of Modern Applied Statistical Methods
This study develops a novel bivariate odd Rayleigh-exponential distribution (OR-ED), constructed using the Farlie-Gumbel-Morgenstern (FGM) copula to model dependence between lifetime data. Three estimation methods: maximum likelihood estimation (MLE), inference functions for margins (IFM), and canonical maximum likelihood (CML) are employed to evaluate
Oga Ode, Musa Tasi'u, Abubakar Usman, Aliyu Yakubu, Ibrahim Abubakar Sadiq   +4 more
openaire   +1 more source

Bivariate Length-Biased Exponential Distribution under Progressive Type-II Censoring: Incorporating Random Removal and Applications to Industrial and Computer Science Data

Axioms
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 removals, where the number of units removed at each failure time follows a binomial ...
Aisha Fayomi, Ehab M. Almetwally, Maha E. Qura   +2 more
doaj   +1 more source

Joint Risk Analysis of Extreme Rainfall and High Tide Level Based on Extreme Value Theory in Coastal Area. [PDF]

Int J Environ Res Public Health, 2023
Chen H, Xu Z, Chen J, Liu Y, Li P.
europepmc   +1 more source

On Concomitants of Record Values from Generalized Farlie-Gumbel-Morgenstern Distribution [PDF]

Journal of Statistical Science and Application, 2014
null N. A. Mokhlis, null S. K. khames
openaire   +1 more source

Investigating meteorological/groundwater droughts by copula to study anthropogenic impacts. [PDF]

Sci Rep, 2022
Sadeghfam S, Mirahmadi R, Khatibi R, Mirabbasi R, Nadiri AA.   +4 more
europepmc   +1 more source

Fractional Survival Functional Entropy of Engineering Systems. [PDF]

Entropy (Basel), 2022
Alomani G, Kayid M.
europepmc   +1 more source

A new exponentiated Weibull distribution’s extension: copula, mathematical properties and applications [PDF]

Contributions to Mathematics, 2020
Mahmoud M. Mansour, Nadeem S. Butt, Saiful I. Ansari, Haitham M. Yousof, Mir M. Ali, Mohamed Ibrahim   +5 more
doaj   +1 more source

Burst and Memory-aware Transformer: capturing temporal heterogeneity. [PDF]

Front Comput Neurosci, 2023
Lee B, Lee JH, Lee S, Kim CH.
europepmc   +1 more source

Uni-variate and bi-variate Inverted Exponential Teissier distribution in Bayesian and non-Bayesian framework to model stochastic dynamic variation of climate data. [PDF]

Theor Appl Climatol, 2022
Thakur D, Bhattacharya S, Das I.
europepmc   +1 more source