Results 21 to 30 of about 125 (118)

Neumann Series on the Recursive Moments of Copula-Dependent Aggregate Discounted Claims

open access: yesRisks, 2014
We study the recursive moments of aggregate discounted claims, where the dependence between the inter-claim time and the subsequent claim size is considered.
Siti Norafidah Mohd Ramli, Jiwook Jang
doaj   +1 more source

On Optimization of Copula-Based Extended Tail Value-at-Risk and its Application in Energy Risk

open access: yesIEEE Access, 2021
In this paper, we study a novel risk measure, which is a copula-based extension of tail value-at-risk (TVaR). This measure is called dependent tail value-at-risk (DTVaR), which is a generalization of TVaR.
Bony Parulian Josaphat   +2 more
doaj   +1 more source

Analyzing Physical-Layer Security of PLC Systems Using DCSK: A Copula-Based Approach

open access: yesIEEE Open Journal of the Communications Society, 2023
This study analyzes the physical layer security (PLS) performance of a differential chaos shift keying (DCSK) modulation-based Power Line Communication (PLC) system by exploiting the novel Farlie-Gumbel-Morgenstern (FGM) Copula approach.
Vinay Mohan   +2 more
doaj   +1 more source

Why Are FGM Copulas Successful? A Simple Explanation

open access: yesAdvances in Fuzzy Systems, 2018
One of the most computationally convenient nonredundant ways to describe the dependence between two variables is by describing the corresponding copula.
Songsak Sriboonchitta, Vladik Kreinovich
doaj   +1 more source

Gerber–Shiu Function in a Class of Delayed and Perturbed Risk Model with Dependence

open access: yesRisks, 2020
This paper considers the risk model perturbed by a diffusion process with a time delay in the arrival of the first two claims and takes into account dependence between claim amounts and the claim inter-occurrence times.
Franck Adékambi, Essodina Takouda
doaj   +1 more source

Bivariate entropy-transformed Weibull distribution for modelling bivariate system-simulated data from a computer series: Mathematical features and applied results

open access: yesAlexandria Engineering Journal
The bivariate FGM Entropy-Transformed model is a new, flexible family of generalized bivariate distributions based on the FGM copula. The bivariate FGM Entropy-Transformed Weibull model is a new model that we developed based on the FGM copula and Entropy-
Tabassum Naz Sindhu   +3 more
doaj   +1 more source

New asymmetric perturbations of FGM bivariate copulas and concordance preserving problems

open access: yesMoroccan Journal of Pure and Applied Analysis, 2023
New copulas, based on perturbation theory, are introduced to clarify a symmetrization procedure for asymmetric copulas. We give also some properties of the symmetrized copula mainly conservation of concordance.
El maazouz Mohamed, Sani Ahmed
doaj   +1 more source

Farlie-Gumbel-Morgenstern bivariate log-normal: applications and comparison of semiparametric and parametric methods for estimating copulas

open access: yesKuwait Journal of Science
This study introduces the Farlie-Gumbel-Morgenstern bivariate log-normal (bivariate FGM-LN) distribution, which was created using the FGM copula to describe dependent skewed data.
Shakila Bashir   +2 more
doaj   +1 more source

A copula-based bivariate integer-valued autoregressive process with application

open access: yesModern Stochastics: Theory and Applications, 2019
A bivariate integer-valued autoregressive process of order 1 (BINAR(1)) with copula-joint innovations is studied. Different parameter estimation methods are analyzed and compared via Monte Carlo simulations with emphasis on estimation of the copula ...
Andrius Buteikis, Remigijus Leipus
doaj   +1 more source

Bivariate power Lomax Sarmanov distribution: Statistical properties, Reliability measures, and Parameter estimation

open access: yesAlexandria Engineering Journal
This paper presents a bivariate power Lomax Sarmanov distribution (BPL-SARD) constructed from Sarmanov copulas and power Lomax (PL) marginal distributions.
M.A. Abd Elgawad   +7 more
doaj   +1 more source

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