Results 41 to 50 of about 1,035 (153)

A note on bivariate Archimax copulas

open access: yesDependence Modeling, 2018
We present an analytical proof of the characterisation of bivariate Archimax copulas in terms of the properties of their generating functions.
Durante Fabrizio   +2 more
doaj   +1 more source

Estimation of Power Lomax Distribution for Censored Data With Applications

open access: yesJournal of Mathematics, Volume 2025, Issue 1, 2025.
In this study, power Lomax (PL) distribution parameters are estimated under an adaptive Type‐II progressive censoring scheme, utilizing both frequentist and Bayesian statistical estimations. The model parameters, reliability and hazard functions, and coefficient of variation are all determined using an iterative procedure in the frequentist estimation.
Abdelfattah Mustafa   +2 more
wiley   +1 more source

On comprehensive families of copulas involving the three basic copulas and transformations thereof

open access: yesDependence Modeling
Comprehensive families of copulas including the three basic copulas (at least as limit cases) are useful tools to model countermonotonicity, independence, and comonotonicity of pairs of random variables on the same probability space. In this contribution,
Saminger-Platz Susanne   +4 more
doaj   +1 more source

On quantile based co-risk measures and their estimation

open access: yesDependence Modeling, 2020
Conditional Value-at-Risk (CoVaR) is defined as the Value-at-Risk of a certain risk given that the related risk equals a given threshold (CoVaR=) or is smaller/larger than a given threshold ...
Fuchs Sebastian, Trutschnig Wolfgang
doaj   +1 more source

Characterization of Bimodal Extension of the Generalized Gamma Distribution [PDF]

open access: yes, 2018
Cankaya et al. (2015) [1] introduced a bimodal extension of the generalized gamma distribution and studied certain properties and ap­plicability of this distribution. This is a continuous distribution whose probability density function is defined via two
Hamedani, Gholamhossein G.
core   +1 more source

Bayesian Estimation and Prediction of Inverse Power Lomax Model Under Censored Data With Applications

open access: yesJournal of Mathematics, Volume 2025, Issue 1, 2025.
This study presents a comparative analysis of frequentist and Bayesian estimation techniques for the parameters of the inverse power Lomax distribution, employing an adaptive Type‐II progressive censoring approach. The maximum likelihood estimations (MLEs) and their corresponding asymptotic confidence intervals are derived.
Samah M. Ahmed   +3 more
wiley   +1 more source

Median‐Based Unit Weibull (MBUW): A New Variants of Generalized Method of Moments and Percentile Estimators

open access: yesJournal of Probability and Statistics, Volume 2025, Issue 1, 2025.
This paper introduces a new two‐parameter unit Weibull distribution defined on the interval (0, 1). It discusses the methodology for deriving its probability density function (PDF), explores various properties, and presents related functions. Numerous figures illustrate the distribution and demonstrate its effectiveness in fitting a wide range of ...
Iman M. Attia, Hyungjun Cho
wiley   +1 more source

Modelling cascading effects for systemic risk: Properties of the Freund copula

open access: yesDependence Modeling, 2019
We consider a dependent lifetime model for systemic risk, whose basic idea was for the first time presented by Freund. This model allows to model cascading effects of defaults for arbitrarily many economic agents.
Guzmics Sándor, Pflug Georg Ch.
doaj   +1 more source

Penyesuaian distribusi proses keberangkatan sepeda motor dari lahan parkir saat waktu puncak

open access: yesMajalah Ilmiah Matematika dan Statistika, 2023
The study aims to model the distribution of motorcycle departures from the parking lot at peak times with the Poisson process approach. This process involves a discrete number of departures and continuous interdeparture time. The probability distribution
Rifdatun Ni'mah, Regita Putri Permata
doaj   +1 more source

Estimation and Prediction Under Different Schemes for a Flexible Symmetric Distribution With Applications

open access: yesJournal of Mathematics, Volume 2024, Issue 1, 2024.
This paper introduces a new probability distribution called the mixture symmetric gamma (MSG) distribution, which is defined as a mixture of two symmetric gamma distributions. Its statistical properties and applications are explored. We first examine its mathematical properties, including the possible shapes of the corresponding probability density ...
Christophe Chesneau   +4 more
wiley   +1 more source

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