Results 51 to 60 of about 1,034 (200)
Local dependence in bivariate copulae with beta marginals [PDF]
The local dependence function (LDF) describes changes in the correlation structure of continuous bivariate random variables along their range. Bivariate density functions with Beta marginals can be used to model jointly a wide variety of data with ...
Cortina-Borja, M +2 more
core +3 more sources
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
Due to their ability to capture complex interactions between random variables, copula models are gaining increasing attention. When it comes to bivariate data modeling, one important area of statistical theory is the construction of families of ...
I. A. Husseiny +3 more
doaj +1 more source
In survival analyses, infections at the catheter insertion site among kidney patients using portable dialysis machines pose a significant concern. Understanding the bivariate infection recurrence process is crucial for healthcare professionals to make ...
Aisha Fayomi +2 more
doaj +1 more source
The Use of Official Statistics in Self-Selection Bias Modeling [PDF]
Official statistics are a fundamental source of publicly available information that periodically provides a great amount of data on all major areas of citizens’ lives, such as economics, social development, education, and the environment.
Albert +19 more
core +3 more sources
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
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
Analyzing Physical-Layer Security of PLC Systems Using DCSK: A Copula-Based Approach
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
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
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

