Results 61 to 70 of about 1,034 (200)
On Bivariate Distributions with Singular Part
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
Some Locally Most Powerful Rank Tests For Correlation [PDF]
Four examples are given to illustrate the ease and practicality of the procedure for finding locally most powerful rank tests for correlation. The first two examples deal with bivariate exponential models.
Conover, W. J.
core +2 more sources
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
Indexes to Measure Dependence between Clinical Diagnostic Tests: A Comparative Study
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 the Importance of Copula Choice in the Reliability Evaluation of Dependent Stress-Strength Models [PDF]
Reliability assessment, vital in high-stakes engineering, often employs the stress-strength model. However, traditional models frequently assume independence between stress and strength, an assumption that can lead to inaccurate reliability estimates ...
Nooshin Hakamipour
doaj +1 more source
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 +3 more
wiley +1 more source
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
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 +2 more
wiley +1 more source
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 +3 more
wiley +1 more source
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 +6 more
doaj +1 more source

