Results 11 to 20 of about 177 (129)
Journal of MathematicsA bivariate lifetime model is proposed by coupling odd Fréchet half-logistic (OFHL) marginals with the Farlie–Gumbel–Morgenstern (FGM) copula under a unified hybrid censoring (UHC) scheme introducing UHC for bivariate lifetime models for the first time ...
Ehab M. Almetwally
doaj +2 more sources
Joint Modeling of Birth Outcomes Using a Copula Distributional Regression Approach. [PDF]
Health EconABSTRACT 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
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 +10 more
europepmc +2 more sources
Bivariate Copula-Based Regression for Joint Modeling of Healthcare Visits. [PDF]
Health EconABSTRACT 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
Dynamic Reliability Modeling with Medical Applications
Revstat Statistical Journal, 2022 This article explores a dynamic reliability index for dependent stress and strength variables. Toward this end, a copula approach is utilized to model the association between the two variables.
M. Mahdizadeh, M. Bolbolian Ghalibaf
doaj +1 more source
Univariate and Bivariate Alpha-Power Transformed Lomax Distribution: Properties and Application [PDF]
المجلة العلمية للدراسات والبحوث المالية والتجارية, 2022 A new method for adding parameters to a well-established distribution to obtain more flexible new families of distributions is applied to Lomax distribution (LD).
yasser Anmer +2 more
doaj +1 more source
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 +6 more
doaj +1 more source
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 +3 more
doaj +1 more source
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
Wind Energy, Volume 26, Issue 9, Page 900-922, September 2023., 2023 Abstract Accurate and reliable assessment of wind energy potential has important implication to the wind energy industry. Most previous studies on wind energy assessment focused solely on wind speed, whereas the dependence of wind energy on wind direction was much less considered and documented.
Shiji Huang +3 more
wiley +1 more source