Results 21 to 30 of about 1,401 (188)

A Bayesian-Model-Averaging Copula Method for Bivariate Hydrologic Correlation Analysis

Frontiers in Environmental Science, 2022
A Bayesian-model-averaging Copula (i.e., BMAC) approach was proposed for correlation analysis of monthly rainfall and runoff in Xiangxi River watershed, China. The BMAC approach was formulated by incorporating existing Bayesian model averaging (i.e., BMA)
Yizhuo Wen, Aili Yang, Xiangming Kong, Yueyu Su   +3 more
doaj   +1 more source

Power Families of Bivariate Proportional Hazard Models

Mathematics, 2022
In this paper, we propose a general class of bivariate proportional hazard distributions, which is based on the family of asymmetric proportional hazard distributions and the bivariate Pareto copula.
Guillermo Martínez-Flórez, Carlos Barrera-Causil, Artur J. Lemonte   +2 more
doaj   +1 more source

Efficient Modeling of the Energy Sector Using a New Bivariate Copula

Mathematics
Copulas are a useful tool to generate bivariate distributions from the univariate marginals. This method is also useful to generate bivariate families of distributions. In this paper, a new copula has been proposed. Some useful properties of the proposed
Jumanah Ahmed Darwish, Muhammad Qaiser Shahbaz   +1 more
doaj   +1 more source

A COPULA APPLICATION FOR MECHANICAL PROPERTIES [PDF]

Fiabilitate şi Durabilitate, 2019
Based on copula applications, the work points out the use of cumulative distribution function for the characteristics bivariate cases and the connections among them.
Adrian Stere PARIS
doaj  

Nonparametric predictive inference with parametric copula for survival analysis

MATEC Web of Conferences, 2018
Many real-world problems of statistical inference involve dependent bivariate data including survival analysis. This paper presents new nonparametric methods for predictive inference for survival analysis involving a future bivariate observation.
Muhammad N, Yusoff N
doaj   +1 more source

Local Dependence for Bivariate Weibull Distributions Created by Archimedean Copula

مجلة بغداد للعلوم, 2021
In multivariate survival analysis, estimating the multivariate distribution functions and then measuring the association between survival times are of great interest.
Swar O. Ahmed, Khwazbeen S. Fatah, Sahib Esa   +2 more
doaj   +1 more source

A Copula-Based Model for Analyzing Bivariate Offense Data

Stats
We developed a class of bivariate integer-valued time series models using copula theory. Each count time series is modeled as a Markov chain, with serial dependence characterized through copula-based transition probabilities for Poisson and Negative ...
Dimuthu Fernando, Wimarsha Jayanetti
doaj   +1 more source

Bivariate Flood Frequency Analysis Using the Copula Archimedean Function (Gumbel–Hougaard) [PDF]

پژوهش‌های آبخیزداری, 2020
Flood is a multivariate and complex phenomenon that has a random nature. In conventional methods of flood frequency analysis, only flood peak variable is important and it is assumed that the variable under consideration follows a particular parametric ...
Mohammad Reza Goodarzi, Atiyeh Fatehifar, Ali Khaseh, Mohammad Mahmoudvand   +3 more
doaj   +1 more source

Some New Bivariate Properties and Characterizations Under Archimedean Copula

Mathematics
This paper considers comparing properties and characterizations of the bivariate functions under Archimedean copula. It is shown that some results of the usual stochastic order for the bivariate functions in the independent case are generalized to the ...
Qingyuan Guan, Peihua Jiang, Guangyu Liu
doaj   +1 more source

New Families of Bivariate Copulas via Unit Lomax Distortion

Risks, 2020
This article studies a new family of bivariate copulas constructed using the unit-Lomax distortion derived from a transformation of the non-negative Lomax random variable into a variable whose support is the unit interval.
Fadal Abdullah-A Aldhufairi, Ranadeera G.M. Samanthi, Jungsywan H. Sepanski   +2 more
doaj   +1 more source