Results 41 to 50 of about 177 (129)
Statistical disaggregation—A Monte Carlo approach for imputation under constraints
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 +5 more
wiley +1 more source
Effect of Dependency on the Estimation of P[Y
We consider an expression for the probability R=P ...
Dipak Patil +2 more
doaj +1 more source
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 +4 more
wiley +1 more source
Mean Distances and Dependence Structures for Lifetimes of Systems With Shared Components
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 +2 more
wiley +1 more source
In this paper the trivariate survival regression model for FGM family of distributions is constructed with marginal left-truncated logistic distributions.
Audronė Jakaitienė, Danas Zuokas
doaj +3 more sources
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
Joint Probability Analysis of the Rich‐Poor Runoff and Sediment Discharge in Karst Watersheds
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 +4 more
wiley +1 more source
This article aims to present a new type‐II claims Pareto extension for statistical reliability and actuarial analysis. The new probabilistic density can be simplified in terms of the baseline densities. Some new bivariate types were developed under some copula approaches.
Atef F. Hashem +6 more
wiley +1 more source
A note on "Generalized bivariate copulas and their properties" [PDF]
In 2004, Rodr'{i}guez-Lallena and '{U}beda-Flores have introduced a class of bivariate copulas which generalizes some known families such as the Farlie-Gumbel-Morgenstern distributions.
Vadoud Najjari, Asghar Rahimi
doaj
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

