Results 31 to 40 of about 125 (118)
Joint modelling of flood peaks and volumes: A copula application for the Danube River
Flood frequency analysis is usually performed as a univariate analysis of flood peaks using a suitable theoretical probability distribution of the annual maximum flood peaks or peak over threshold values.
Papaioannou George +5 more
doaj +1 more source
Continuous Exchangeable Markov Chains, Idempotent and 1-Dependent Copulas
New copula families are constructed based on orthogonality in L2(0,1). Subclasses of idempotent copulas with square integrable densities are derived.
Martial Longla
doaj +1 more source
Analysis of Dependent Variables Following FGM Bivariate Generalized Burr Distribution Based on Economic Data [PDF]
The generalized Burr (GB) distribution is a flexible distribution that is used to describe many types of data. This distribution has a flexible hazard function, which can take a decreasing, approximately constant, or unimodal shape over time.
Hiba Muhammed, Samira Abozaid
doaj +1 more source
Searching for Universality of Turbulence in the Earth's Magnetosphere
Abstract Turbulence in space plasmas remains a fundamental challenge, and Earth's magnetosphere (MSP) offers a natural laboratory for its study. Using high‐resolution magnetic field data from the Magnetospheric Multiscale (MMS) mission, we extend a stochastic Markovian framework to analyze turbulence across 10 diverse magnetospheric regions, including ...
Dariusz Wójcik, Wiesław M. Macek
wiley +1 more source
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
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
Decision Model of Transmission Capacity Based on Expected Quantile for Wind Farm
Purposes The new energy generation represented by wind power is the most realistic strategic choice to achieve the goals of carbon peaking and carbon neutrality. To absorb renewable energy electricity in power grids, a new probabilistic evaluation method
Kader Mst Sharmin +3 more
doaj +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
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

