Results 31 to 40 of about 108,153 (267)

Assessment of Minaret Inclination and Structural Capacity Using Terrestrial Laser Scanning and 3D Numerical Modeling: A Case Study of the Bjelave Mosque

open access: yesGeomatics
Terrestrial laser scanners (TLS) are widely employed in structural health monitoring (SHM) of large objects due to their superior capabilities compared to traditional geodetic methods.
Adis Hamzić   +6 more
doaj   +1 more source

Corrected goodness-of-fit index in latent variable modeling using non-parametric bootstrapping

open access: yesFrontiers in Psychology
Latent variable modeling (LVM) is a powerful tool for validating tools and measurements in the social sciences. One of the main challenges in this method is the evaluation of model fit that is traditionally assessed using omnibus inferential statistical ...
Georgios Sideridis, Mohammed Alghamdi
doaj   +1 more source

A causal bootstrap

open access: yesThe Annals of Statistics, 2021
The bootstrap, introduced by Efron (1982), has become a very popular method for estimating variances and constructing confidence intervals. A key insight is that one can approximate the properties of estimators by using the empirical distribution function of the sample as an approximation for the true distribution function.
Imbens, Guido, Menzel, Konrad
openaire   +2 more sources

The Robust Efficiency Estimation in Lower Secondary Education: Cross-Country Evidence

open access: yesMathematics, 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

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang   +8 more
wiley   +1 more source

Remote Sensing Based Two-Stage Sampling for Accuracy Assessment and Area Estimation of Land Cover Changes

open access: yesRemote 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

Variability in Estimating Crop Model Genotypic Parameters: The Impact of Different Sampling Methods and Sizes

open access: yesAgriculture, 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

[18F]Fluorodeprenyl‐D2 PET as a Tool to Monitor Disease Activity in GAD65‐Ab Autoimmune Encephalitis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate [18F]fluorodeprenyl‐D2 ([18F]F‐DED) positron‐emission tomography (PET) imaging as a biomarker of disease activity in autoimmune encephalitis (AIE) associated with glutamic acid decarboxylase 65 (GAD65) antibodies. Methods [18F]F‐DED PET was performed in 25 GAD65‐AIE patients and 8 controls using dynamic (0–60 min) and ...
Julia S. Dorneich   +19 more
wiley   +1 more source

Bootstrap consistency for the Mack bootstrap

open access: yesInsurance: Mathematics and Economics
Mack'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

Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning

open access: yesIEEE 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

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