Results 41 to 50 of about 192 (166)

The survival regression model of competing risks for the family of Farlie–Gumbel–Morgenstern distributions

Lietuvos matematikos rinkinys, 2002
In this paper the trivariate survival regression model for FGM family of distributions is const­ructed with marginal left-truncated logistic distributions. Two methods (using survival and hazard functions in the first case, and distributional density and ` `conditional'' survival function in the se­cond case) are used when constructing likelihood ...
Audronė Jakaitienė, Danas Zuokas
openaire   +2 more sources

Reliability Inference for Bivariate Lifetimes With Odd Fréchet Half‐Logistic Marginals Under Unified Hybrid Censoring

Journal of Mathematics, Volume 2026, Issue 1, 2026.
A bivariate lifetime model is proposed by coupling odd Fréchet half‐logistic (OFHL) marginals with the Farlie–Gumbel–Morgenstern (FGM) copula under a unified hybrid censoring (UHC) scheme introducing UHC for bivariate lifetime models for the first time.
Ehab M. Almetwally, Smritijit Sen
wiley   +1 more source

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

IEEE 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, Aashish Mathur, Georges Kaddoum   +2 more
doaj   +1 more source

The maximum likelihood degree of Farlie-Gumbel-Morgenstern bivariate exponential distribution

Communications in Statistics - Theory and Methods
The maximum likelihood degree of a statistical model refers to the number of solutions, where the derivative of the log-likelihood function is zero, over the complex field. This paper examines the maximum likelihood degree of the parameter in Farlie-Gumbel-Morgenstern bivariate exponential distribution.
Pooja Yadav, Tanuja Srivastava
openaire   +2 more sources

Statistical disaggregation—A Monte Carlo approach for imputation under constraints

Scandinavian Journal of Statistics, Volume 52, Issue 3, Page 1376-1421, September 2025.
Abstract Equality‐constrained models naturally arise in problems in which the measurements are taken at different levels of resolution. The challenge in this setting is that the models usually induce a joint distribution which is intractable. Resorting to instead sampling from the joint distribution by means of a Monte Carlo approach is also ...
Shenggang Hu, Hongsheng Dai, Fanlin Meng, Louis Aslett, Murray Pollock, Gareth O. Roberts   +5 more
wiley   +1 more source

Modeling car‐following behaviors using a driving style–based Bayesian model averaging Copula framework in mixed traffic flow

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 21, Page 3316-3332, 29 August 2025.
Abstract As a fundamental driving behavior, the accurate modeling of car‐following (CF) dynamics is essential for improving traffic flow and advancing autonomous driving technologies. Due to the stochastic nature of CF behaviors, the CF model parameters often exhibit heterogeneity (multimodal trends), distribution uncertainty, and parameter ...
Shubo Wu, Yue Zhang, Yajie Zou, Yuanchang Xie, Yangyang Wang   +4 more
wiley   +1 more source

On the Importance of Copula Choice in the Reliability Evaluation of Dependent Stress-Strength Models [PDF]

Mathematics and Modeling in Finance
Reliability assessment, vital in high-stakes engineering, often employs the stress-strength model. However, traditional models frequently assume independence between stress and strength, an assumption that can lead to inaccurate reliability estimates ...
Nooshin Hakamipour
doaj   +1 more source

Mean Distances and Dependence Structures for Lifetimes of Systems With Shared Components

Applied Stochastic Models in Business and Industry, Volume 41, Issue 2, March/April 2025.
ABSTRACT Distortion and copula functions represent powerful tools in the description of the reliability of some complex systems as functions of their components' reliability. On this aim, we study several pairs of reliability systems with one or more shared components, in the case when their lifetimes are independent and identically distributed or ...
Marco Capaldo, Antonio Di Crescenzo, Franco Pellerey   +2 more
wiley   +1 more source

INDEXES TO MEASURE DEPENDENCE BETWEEN CLINICAL DIAGNOSTIC TESTS: A COMPARATIVE STUDY INDICES PARA MEDIR DEPENDENCIA ENTRE PRUEBAS PARA DIAGNÓSTICO CLÍNICO: UN ESTUDIO COMPARATIVO

Revista Colombiana de Estadística, 2011
In many practical situations, clinical diagnostic procedures include two or more biological traits whose outcomes are expressed on a continuous scale and are then dichotomized using a cut point.
Tovar José Rafael, Achcar Jorge Alberto
doaj  

Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events

Environmetrics, Volume 36, Issue 2, March 2025.
ABSTRACT If (X,Y)$$ \left(X,Y\right) $$ is a random pair with distribution function FX,Y(x,y)=ℙ(X≤x,Y≤y)$$ {F}_{X,Y}\left(x,y\right)=\mathbb{P}\left(X\le x,Y\le y\right) $$, one can define the level curve of probability p$$ p $$ as the values of (x,y)∈ℝ2$$ \left(x,y\right)\in {\mathbb{R}}^2 $$ such that FX,Y(x,y)=p$$ {F}_{X,Y}\left(x,y\right)=p ...
Albert Folcher, Jean‐François Quessy
wiley   +1 more source