Results 61 to 70 of about 288 (179)
IEEE AccessFrom both practical and theoretical viewpoints, performance analysis of communication systems using information-theoretic results is very important. In this study, first, we obtain a general achievable rate for a two-user wireless multiple access channel
Akram Entezami, Ghosheh Abed Hodtani
doaj +1 more source
(R1510) A Special Case of Rodriguez-Lallena and Ubeda-Flores Copula Based on Ruschendorf Method [PDF]
, 2022 Measure of dependence is a particular way of looking at the association between random variables, and one way to capture stochastic dependence is through the use of copula.
Pizon, Marvin G., Paluga, Rolando N.
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The FGM bivariate lifetime copula model: a bayesian approach [PDF]
, 2011 In this paper, we propose a bivariate distribution for the bivariate survival times based on Farlie-Gumbel-Morgenstern copula to model the dependence on a bivariate survival data. The proposed model allows for the presence of censored data and covariates.
Cancho, Vicente G. +3 more
core +4 more sources
Innovative Journal of Mathematics (IJM), 2022 In this article, Inverse Paralogistic distribution based on Farlie-Gumbel-Morgenstern (FGM) copula is introduced. Derivations of exact distribution V = XY ,W = X/Y , and Z = X/(X + Y ) are obtained in closed form. Corresponding moment properties of these distributions are also derived. The expressions turn out to involve known special functions.
Marvin Pizon, Jayrold P. Arcede
openaire +1 more source
Journal of Mathematics, Volume 2025, Issue 1, 2025.This study introduces three innovative bivariate models to address complex dependencies between random variables in real‐world applications. Specifically, we develop bivariate power Lindley (BPL) distribution models utilizing the Gumbel, Frank, and Clayton copulas.
Ehab M. Almetwally +3 more
wiley +1 more source
Journal of Flood Risk Management, Volume 17, Issue 3, September 2024.Abstract Coastal flooding is a growing hazard. Compound event characterization and uncertainty quantification are critical to accurate flood risk assessment. This study presents univariate, conditional, and joint probabilities for observed water levels, precipitation, and waves.
Joseph T. D. Lucey, Timu W. Gallien
wiley +1 more source
An extension of FGM distributions based on an univariate function [PDF]
, 2017 A copula is a function that completely describes the dependence structure between the marginal distributions. One of the most important para-metric family of copulas is the Farlie-Gumbel-Morgenstern (FGM) family. In practical applications this copula has
Stoica, Emil
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Predicting failure times of coherent systems
Naval Research Logistics (NRL), Volume 71, Issue 5, Page 627-644, August 2024.Abstract The article is focused on studying how to predict the failure times of coherent systems from the early failure times of their components. Both the cases of independent and dependent components are considered by assuming that they are identically distributed (homogeneous components). The heterogeneous components' case can be addressed similarly
Jorge Navarro +2 more
wiley +1 more source
Review of Income and Wealth, Volume 70, Issue 2, Page 395-419, June 2024.Empirical research on poverty today often goes beyond a focus on income to consider other dimensions of well‐being. However, relatively few multidimensional poverty measures explicitly consider time‐use, despite its particular relevance to women's double burden of paid and unpaid work.
Franziska Dorn +3 more
wiley +1 more source
Copula Theory and Regression Analysis [PDF]
, 2018 Researchers are often interested to study in the relationships between one variable and several other variables. Regression analysis is the statistical method for investigating such relationship and it is one of the most commonly used statistical Methods
Thevaraja, Mayooran
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