Results 51 to 60 of about 187 (166)

Indexes to Measure Dependence between Clinical Diagnostic Tests: A Comparative Study

Revista Colombiana de Estadística, 2011
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.
JOSÉ RAFAEL TOVAR, JORGE ALBERTO ACHCAR
doaj  

On Bivariate Distributions with Singular Part

Axioms
There are many families of bivariate distributions with given marginals. Most families, such as the Farlie–Gumbel–Morgenstern (FGM) and the Ali–Mikhail–Haq (AMH), are absolutely continuous, with an ordinary probability density. In contrast, there are few
Carles M. Cuadras
doaj   +1 more source

An Alternative Type II Claims Pareto Model for Reliability and Bimodal Risk Analysis: Copulas, Properties, Mathematical Modeling, and Actuarial Case Study

Journal of Mathematics, Volume 2025, Issue 1, 2025.
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, Haitham M. Yousof, M. A. Abdelkawy, M. A. Abd Elgawad, Abdisalam Hassan Muse, Mohamed G. Khalil, Pramita Mishra   +6 more
wiley   +1 more source

A New Log-Logistic Lifetime Model with Mathematical Properties, Copula, Modified Goodness-of-Fit Test for Validation and Real Data Modeling

Mathematics, 2020
After defining a new log-logistic model and studying its properties, some new bivariate type versions using “Farlie-Gumbel-Morgenstern Copula”, “modified Farlie-Gumbel-Morgenstern Copula”, “Clayton Copula”, and “Renyi’s entropy Copula” are derived. Then,
Mahmoud M. Mansour, Mohamed Ibrahim, Khaoula Aidi, Nadeem Shafique Butt, Mir Masoom Ali, Haitham M. Yousof, Mohamed S. Hamed   +6 more
doaj   +1 more source

Bivariate Power Lindley Models Based on Copula Functions Under Type‐II Censored Samples With Applications in Industrial and Medical Data

Journal of Mathematics, Volume 2025, Issue 1, 2025.
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, Aisha Fayomi, Maha E. Qura, Pramita Mishra   +3 more
wiley   +1 more source

Analyzing symmetric distributions by utilizing extropy measures based on order statistics

Journal of Radiation Research and Applied Sciences
Quantification of the uncertainty of distribution functions, by using entropy and extropy, is important in many statistical analyses. Inspired by this, our study uses extropy and several related measures (including the cumulative residual extropy ...
I.A. Husseiny, H.M. Barakat, M. Nagy, A.H. Mansi   +3 more
doaj   +1 more source

Quantifying compound flood event uncertainties in a wave and tidally dominated coastal region: The impacts of copula selection, sampling, record length, and precipitation gauge selection

Journal of Flood Risk Management, Volume 17, Issue 3, September 2024.
Abstract Coastal flooding is a growing hazard. Compound event characterization and uncertainty quantification are critical to accurate flood risk assessment. This study presents univariate, conditional, and joint probabilities for observed water levels, precipitation, and waves.
Joseph T. D. Lucey, Timu W. Gallien
wiley   +1 more source

Predicting failure times of coherent systems

Naval Research Logistics (NRL), Volume 71, Issue 5, Page 627-644, August 2024.
Abstract The article is focused on studying how to predict the failure times of coherent systems from the early failure times of their components. Both the cases of independent and dependent components are considered by assuming that they are identically distributed (homogeneous components). The heterogeneous components' case can be addressed similarly
Jorge Navarro, Antonio Arriaza, Alfonso Suárez‐Llorens   +2 more
wiley   +1 more source

Analysis of Dependent Variables Following FGM Bivariate Generalized Burr Distribution Based on Economic Data [PDF]

The Egyptian Statistical Journal
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

A bivariate relative poverty line for leisure time and income poverty: Detecting intersectional differences using distributional copulas

Review of Income and Wealth, Volume 70, Issue 2, Page 395-419, June 2024.
Empirical research on poverty today often goes beyond a focus on income to consider other dimensions of well‐being. However, relatively few multidimensional poverty measures explicitly consider time‐use, despite its particular relevance to women's double burden of paid and unpaid work.
Franziska Dorn, Rosalba Radice, Giampiero Marra, Thomas Kneib   +3 more
wiley   +1 more source