Results 41 to 50 of about 187 (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

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

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

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

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

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

Estimation based on Ranked Set Sampling for Farlie--Gumbel--Morgenstern Bivariate Weibull Distribution Parameters with an application to medical data

Pakistan Journal of Statistics and Operation Research, 2023
In this article, we address the problem of estimating the parameters of Farlie-Gumbel-Morgenstern bivariate Weibull distribution using ranked set sample (RSS) design. The suggested estimators of the FGMBW distribution parameters are compared with their counterparts based on simple random sampling (SRS) via Monte Carlo simulations studies. An example of
Ahmad Hanandeh, Amer Al-omari
openaire   +1 more source

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

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  

Joint Probability Analysis of the Rich‐Poor Runoff and Sediment Discharge in Karst Watersheds

Water Resources Research, Volume 61, Issue 1, January 2025.
Abstract As one of the largest contiguous karst landscapes in the world, southwest China has experienced severe soil erosion because of its frequent climate extremes, special hydrogeology, shallow and discontinuous soil, steep topography, and inappropriate land use.
Jiayin Yao, Xingxiu Yu, Zhenwei Li, Shilei Peng, Xianli Xu   +4 more
wiley   +1 more source