Results 151 to 160 of about 25,862 (264)

An Assessment of the Use of Partial Least Squares Structural Equation Modelling (PLS‐SEM) in Educational Leadership and Management Research

European Journal of Education, Volume 61, Issue 2, June 2026.
ABSTRACT Structural equation modelling (SEM) has become a widely used method across various disciplines including educational leadership and management (EDLM). Although researchers in many disciplines have conducted reviews regarding the use of PLS‐SEM, its application in EDLM has not yet been reviewed comprehensively.
Yuting Zhang, Donnie Adams, Jun‐Hwa Cheah, Viraiyan Teeroovengadum, T. Ramayah   +4 more
wiley   +1 more source

Evaluating the Cauchy combination test for count data. [PDF]

PLoS One
Alsulami H, Liverani S.
europepmc   +1 more source

Hybrid Hydrodynamic‐Machine Learning Modelling for Rapid Flood Scenario Assessment: A Case Study in Aotearoa New Zealand

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Flooding is one of the most devastating natural disasters worldwide. It is also expected to become more severe as climate change impacts are realised. Two‐dimensional (2D) hydrodynamic models are used to obtain reliable inundation estimations.
Andrea Pozo, Matthew Wilson, Marwan Katurji, Fernando J. Méndez, Cyprien Bosserelle, Emily Lane   +5 more
wiley   +1 more source

Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas. [PDF]

Entropy (Basel)
Desuó Neto L, de Oliveira Caetano H, de Souza Sant'Anna Fogliatto M, Dias Maciel C.   +3 more
europepmc   +1 more source

Bayesian Inference for Joint Estimation Models Using Copulas to Handle Endogenous Regressors

Oxford Bulletin of Economics and Statistics, Volume 88, Issue 3, Page 519-534, June 2026.
ABSTRACT This study proposes a Bayesian approach for finite‐sample inference of the Gaussian copula endogeneity correction. Extant studies use frequentist inference, build on a priori computed estimates of marginal distributions of explanatory variables, and use bootstrapping to obtain standard errors. The proposed Bayesian approach facilitates precise
Rouven E. Haschka
wiley   +1 more source

Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016. [PDF]

BMC Public Health
Begashaw GB, Zewotir T, Fenta HM, Asmamaw MA.   +3 more
europepmc   +1 more source

Water‐Regulated Carbon Cost–Benefit Drives Divergent Effective Rooting Depth Across the Greening Loess Plateau

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract Large‐scale vegetation restoration is reshaping belowground systems globally, yet root dynamics remain poorly quantified, limiting predictions of ecosystem resilience to hydroclimatic variability. Rooting depth reflects a trade‐off between carbon benefits and respiratory costs, but assessment is hampered by soil‐moisture uncertainty and weak ...
Tongxuan Su, Rui Shao, Yao Li, Xining Zhao, Baoqing Zhang   +4 more
wiley   +1 more source

Data-Driven Chance-Constrained Mixed Integer Nonlinear Bi-level Optimisation Via Copulas: Application To Integrated Planning And Scheduling Problems. [PDF]

Syst Control Trans
Johnn SN, Nikkhah H, Tsai ML, Avraamidou S, Beykal B, Charitopoulos VM.   +5 more
europepmc   +1 more source

Designing Cost‐Effective Carbon Payments to Induce Cellulosic Feedstock Production for Sustainable Aviation Fuel

Applied Economic Perspectives and Policy, Volume 48, Issue 2, Page 346-358, May 2026.
ABSTRACTPerennial bioenergy crops, such as miscanthus and switchgrass, and crop residues have the potential to scale up sustainable aviation fuel (SAF) production and mitigate carbon emissions. However, high establishment costs, delayed returns, and risk–return profiles that diverge from those of conventional crops can hinder incentives to adopt ...
Fahd Majeed, Madhu Khanna, Ruiqing Miao
wiley   +1 more source

Modelling dependent censoring in time-to-event data using boosting copula regression. [PDF]

Lifetime Data Anal
Strömer A, Klein N, Van Keilegom I, Mayr A.   +3 more
europepmc   +1 more source