Results 161 to 170 of about 2,059 (191)

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

An approximate-copula distribution for statistical modeling. [PDF]

PLoS Comput Biol
Ji SS, Chu BB, Zhou H, Lange K.
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

Bayesian inference for dependent stress-strength reliability of series-parallel system based on copula. [PDF]

Sci Rep
Zhang L, Yan R, Wang J.
europepmc   +1 more source

Validation of machine learning based scenario generators

Journal of Risk and Insurance, Volume 93, Issue 2, Page 508-533, June 2026.
Abstract Machine learning (ML) methods are becoming increasingly important for designing economic scenario generators for internal models. Validating data‐driven models requires different methods than validating classical, theory‐based models. We discuss two novel aspects of such validation: first, checking the multivariate distribution of risk factors,
Gero Junike, Solveig Flaig, Ralf Werner
wiley   +1 more source

Joint meta-analysis of two diagnostic tests accounting for within and between studies dependence. [PDF]

Stat Methods Med Res
Nikoloulopoulos AK.
europepmc   +1 more source

‘Gen Z Language? Y'all Mean AAVE’: The Appropriation of African American Vernacular English as ‘TikTok Language’

Journal of Sociolinguistics, Volume 30, Issue 3, Page 255-267, June 2026.
ABSTRACT Sociolinguistic research has long documented the appropriation of African American Vernacular English (AAVE) across media including film, music and advertising. In this article, we add to this body of work by exploring the digital recontextualisation of a subset of AAVE features as ‘TikTok/internet language’.
Christian Ilbury, Rianna Walcott
wiley   +1 more source

MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique. [PDF]

PLoS Comput Biol
Shao Y, Li Y, Zhai H, Dong S.
europepmc   +1 more source

Analyzing Non‐Random Selectivity in Online Job Advertisements Using Eurostat Benchmark Data and Generalized Sample Selection Models: An Application to EU Regional Labor Markets

LABOUR, Volume 40, Issue 2, Page 131-161, June 2026.
ABSTRACT The present paper provides an overall framework to afford the problem of non‐representativeness and non‐random selectivity arising from online job ads data, using Generalized sample selection models and Eurostat benchmark data. We jointly model the outcome intensity (number of online job ads in observed profiles, whose levels are defined by ...
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

LSTM-augmented vine copula modelling for energy-finance contagion analysis. [PDF]

Sci Rep
Zeng L, Huang J, Lin X.
europepmc   +1 more source