Results 51 to 60 of about 145,962 (303)
The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence
Mathematics, 2021 In this study, we assessed the efficiency of compulsory lower secondary education. We selected three variables that may significantly affect students’ performance in a particular country.
Darya Dancaková +2 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
Remote Sensing, 2015 Land cover change processes are accelerating at the regional to global level. The remote sensing community has developed reliable and robust methods for wall-to-wall mapping of land cover changes; however, land cover changes often occur at rates below ...
Heinz Gallaun +5 more
doaj +1 more source
Agriculture, 2023 Generic parameter calibration for crop growth models is a very important step in model use. However, studies of the effect of sample size and sampling methods on the calibration and validation of genotypic parameters have seldom been conducted ...
Xintian Ma +5 more
doaj +1 more source
Bootstrap consistency for the Mack bootstrap
Insurance: Mathematics and EconomicsMack's distribution-free chain ladder reserving model belongs to the most popular approaches in non-life insurance mathematics. Proposed to determine the first two moments of the reserve, it does not allow to identify the whole distribution of the reserve.
Steinmetz, Julia, Jentsch, Carsten
openaire +2 more sources
Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap [PDF]
Computational Statistics & Data Analysis, 2005 In regression models, appropriate bootstrap methods for inference robust to heteroskedasticity of unknown form are the wild bootstrap and the pairs bootstrap. The finite sample performance of a heteroskedastic-robust test is investigated with Monte Carlo experiments.
openaire +6 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato +7 more
wiley +1 more source
Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning
IEEE Access, 2020 Deep neural networks (DNNs) require a large amount of manually labeled training data to make significant achievements. However, manual labeling is laborious and costly.
Juae Kim, Youngjoong Ko, Jungyun Seo
doaj +1 more source
Association Between Neurofilament Light Chain and Real‐World Ambulatory Function in Progressive MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Neurofilament light chain (NfL) is a biomarker of neuroaxonal injury in multiple sclerosis (MS), yet associations with functional outcomes remain unclear. Longitudinal associations between serum NfL (sNfL) and daily step count (STEPS) from wearable devices were assessed in a large international progressive MS cohort.
Gabby B. Joseph +5 more
wiley +1 more source
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source