Results 11 to 20 of about 1,034 (200)

Weighted Extropy for Concomitants of Upper k-Record Values Based on Huang–Kotz Morgenstern of Bivariate Distribution

Journal of Mathematics, 2023
In this paper, the marginal distribution of concomitants of k−record values (CKR) based on the Huang–Kotz Farlie–Gumbel–Morgenstern (HK-FGM) family of bivariate distributions is derived.
M. Nagy, Yusra A. Tashkandy
doaj   +2 more sources

Parameter estimation in the Farlie–Gumbel–Morgenstern bivariate Bilal distribution via multistage ranked set sampling

AIMS Mathematics
Ranked set sampling is a well-known and efficient method compared to simple random sampling for estimating population parameters. In this study, we focus on the challenge of estimating the scale parameter of the primary variable $ Z $ using a multistage ...
S. P. Arun, M. R. Irshad, R. Maya, Amer I. Al-Omari, Shokrya S. Alshqaq   +4 more
doaj   +2 more sources

Developing prediction models to estimate the risk of two survival outcomes both occurring: A comparison of techniques. [PDF]

Stat Med, 2023
Introduction This study considers the prediction of the time until two survival outcomes have both occurred. We compared a variety of analytical methods motivated by a typical clinical problem of multimorbidity prognosis. Methods We considered five methods: product (multiply marginal risks), dual‐outcome (directly model the time until both events occur)
Pate A, Sperrin M, Riley RD, Sergeant JC, Van Staa T, Peek N, Mamas MA, Lip GYH, O'Flaherty M, Buchan I, Martin GP.   +10 more
europepmc   +2 more sources

Joint Modeling of Birth Outcomes Using a Copula Distributional Regression Approach. [PDF]

Health Econ
ABSTRACT Low birth weight and preterm birth are key indicators of neonatal health, influencing both immediate and long‐term infant outcomes. While low birth weight may reflect fetal growth restrictions, preterm birth captures disruptions in gestational development. Ignoring the potential interdependence between these variables may lead to an incomplete
Marra G, Radice R.
europepmc   +2 more sources

Bivariate Copula-Based Regression for Joint Modeling of Healthcare Visits. [PDF]

Health Econ
ABSTRACT Doctor and non‐doctor visit frequencies are key indicators of healthcare access, utilization and individual health‐seeking behavior. While doctor visits reflect engagement with formal medical services, non‐doctor visits, such as to nurses, physiotherapists or alternative providers, offer insights into patient preferences and system ...
Marra G, Radice R.
europepmc   +2 more sources

On a Bivariate XGamma Distribution Derived from Copula

Statistica, 2022
In this paper, a new bivariate XGamma (BXG) distribution is presented using Farlie-Gumbel-Morgenstern (FGM) copula. We derive the expressions for conditional distribution, regression function and product moments for the BXG distribution.
Mohammed Abulebda, Ashok Kumar Pathak, Arvind Pandey, Shikhar Tyagi   +3 more
doaj   +1 more source

Extropy and Some of Its More Recent Related Measures for Concomitants of K-Record Values in an Extended FGM Family

Mathematics, 2023
This study uses an effective, recently extended Farlie–Gumbel–Morgenstern (EFGM) family to derive the distribution of concomitants of K-record upper values (CKRV).
Mohamed A. Abd Elgawad, Haroon M. Barakat, Metwally A. Alawady, Doaa A. Abd El-Rahman, Islam A. Husseiny, Atef F. Hashem, Naif Alotaibi   +6 more
doaj   +1 more source

Bivariate Unit-Weibull Distribution: Properties and Inference

Mathematics, 2023
In this article, we introduce a novel bivariate probability distribution that is absolutely continuous. Considering the Farlie–Gumbel–Morgenstern (FGM) copula and the unit-Weibull distribution, we can obtain a bivariate unit-Weibull distribution.
Roger Tovar-Falón, Guillermo Martínez-Flórez, Luis Páez-Martínez   +2 more
doaj   +1 more source

The Extropy of Concomitants of Generalized Order Statistics from Huang–Kotz–Morgenstern Bivariate Distribution

Journal of Mathematics, 2022
In this paper, we study the extropy for concomitants of m−generalized order statistics (m−GOSs) from Huang–Kotz–Farlie–Gumbel–Morgenstern (HK-FGM) bivariate distribution.
I. A. Husseiny, A. H. Syam
doaj   +1 more source

Concomitants of generalized order statistics from Farlie–Gumbel–Morgenstern distributions [PDF]

Statistical Methodology, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Beg, Mirza Iftekhar, Ahsanullah, Mohammad   +1 more
openaire   +1 more source