Results 121 to 130 of about 545,959 (267)
International Journal of Assessment Tools in Education, 2019 Applyingsingle-level statistical models to multilevel data typically producesunderestimated standard errors, which may result in misleading conclusions.This study examined the impact of ignoring multilevel data structure on theestimation of item ...
Hyung Rock Lee, Sunbok Lee, Jaeyun Sung
doaj +1 more source
Stochastic turbulence modeling in RANS simulations via Multilevel Monte Carlo [PDF]
, 2018 A multilevel Monte Carlo (MLMC) method for quantifying model-form uncertainties associated with the Reynolds-Averaged Navier-Stokes (RANS) simulations is presented.
Dwight, Richard P. +2 more
core +1 more source
The wild bootstrap for multilevel models
, 2015 In this paper we study the performance of the most popular bootstrap schemes for multilevel data. Also, we propose a modified version of the wild bootstrap procedure for hierarchical data structures.
Giannerini, Simone, Modugno, Lucia
core +1 more source
MULTILEVEL MONTE CARLO SAMPLING ON HETEROGENEOUS COMPUTER ARCHITECTURES
International Journal for Uncertainty Quantification, 2020 Peer ...
Christiane Adcock +3 more
openaire +3 more sources
Veterinary Record, EarlyView.Abstract Background High employee turnover continues to challenge veterinary organisations globally, with leadership behaviours and interpersonal dynamics playing an important role in influencing staff retention. Emotional intelligence (EI), particularly as expressed through the quality of feedback exchanged between leaders and team members, may be an ...
Olivia Oginska +4 more
wiley +1 more source
Reliability assessment for Modular Multilevel Converters using Monte Carlo Simulations
International Journal of Electrical Power & Energy SystemsModular Multilevel Converters (MMCs) offer significant advantages in the medium to high-voltage settings. The modular architecture of MMCs allows for redundant submodules (SMs) to improve overall reliability.
Miad Ahmadi, Aditya Shekhar, Pavol Bauer
doaj +1 more source
Frontiers in Psychology, 2016 In educational settings, researchers are likely to encounter multilevel data with cross-classified structure. However, due to the lack of familiarity and limitations of statistical software for cross-classified modeling, most researchers adopt less ...
Myung Hee eIm +5 more
doaj +1 more source
Examining the Mutual Gains Model of Well‐Being‐Oriented HRM: Evidence From the Healthcare Sector
Human Resource Management Journal, EarlyView.ABSTRACT Well‐being‐oriented human resource management (WBHRM) posits the benefits for both employees and the employer. Yet, our review has revealed that sophisticated theorisation and subsequent empirical testing of such a mutual gains thesis are scarce. Against this backdrop, we attempt to do so in a highly demanding healthcare context.
Jongwook Pak +1 more
wiley +1 more source
Multilevel Monte Carlo methods for applications in finance
, 2012 Since Giles introduced the multilevel Monte Carlo path simulation method [18], there has been rapid development of the technique for a variety of applications in computational finance.
Giles, Mike, Szpruch, Lukasz
core +1 more source
Long‐run confidence: Estimating uncertainty when using long‐run multipliers
American Journal of Political Science, EarlyView.Abstract Researchers are often interested in the long‐run relationship (LRR) between variables where the dependent variable has dynamic properties. Though determining the long‐run multiplier (LRM) for an independent variable is straightforward, correctly estimating the significance of the LRM is often difficult, especially when time series are short ...
Mark David Nieman, David A. M. Peterson
wiley +1 more source