Results 81 to 90 of about 91,736 (294)

Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]

This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared error ...
Isabel Molina, Nicola Salvati, Monica Pratesi   +2 more
core  

Small area estimation using survey weights under a nested error linear regression model with structural measurement error

, 2012
Previously, the nested error linear regression models using survey weights have been studied in small area estimation to obtain efficient model-based and design-consistent estimators of small area means.
Torabi, Mahmoud
core   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Predicting soil δ13C patterns in Brazil using nested datasets, feature selection, and machine learning

Ecological Informatics
Soil δ13C is an integrative indicator of carbon cycling, vegetation composition, and land use dynamics. Despite increasing availability of high-resolution environmental datasets, predicting soil δ13C remains challenging due to collinear and scale ...
Osmar Luiz Ferreira de Carvalho, Glauber das Neves, João Paulo Sena-Souza, Alexandre Tadeu Brunello, Vinicius Vasconcelos, Daniel Guerreiro e Silva, Maria Gabriella da Silva Araújo, Deoclecio Jardim Amorim, Luiz Antonio Martinelli, Gabriela Bielefeld Nardoto, Osmar Abílio de Carvalho, Júnior   +10 more
doaj   +1 more source

On determination of cointegration ranks

, 2009
We propose a new method to determine the cointegration rank in the error correction model (ECM). The cointegration rank, together with the lag order, is determined by a penalized goodness-of-fit measure.
Yao, Qiwei, Li, Qiaoling, Pan, Jiazhu
core   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Stacked ensemble and SHAP-based approach for predicting plastic rotational capacity in RC columns

Frontiers in Built Environment
The accurate estimation of plastic rotational capacity in reinforced concrete (RC) elements is essential for performance-based seismic design and structural safety assessments. In this study, an extensive experimental database, comprising 258 rectangular
Andrei-Odey Kadhim, Iolanda-Gabriela Craifaleanu, Eugen Lozincă   +2 more
doaj   +1 more source

Perspective: Hollow Core Optical Fibres for Ultraviolet and Visible Wavelengths

Advanced Science, EarlyView.
Hollow core optical fibres bypass material constraints that limit optical fibres at ultraviolet and visible wavelengths. However, their challenging fabrication has limited their development, and significant gains in performance remain possible. In this perspective we outline approaches to enable the next generation of fibres for shorter wavelengths ...
Robbie Mears, Kerrianne Harrington, Jonathan C. Knight, William J. Wadsworth, James M. Stone, Tim A. Birks   +5 more
wiley   +1 more source

Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data

CoRR, 2018
We propose a nested recurrent neural network (nested RNN) model for English spelling error correction and generate pseudo data based on phonetic similarity to train it. The model fuses orthographic information and context as a whole and is trained in an end-to-end fashion. This avoids feature engineering and does not rely on a noisy channel model as in
Hao Li, Yang Wang 0001, Xinyu Liu, Zhichao Sheng, Si Wei   +4 more
openaire   +2 more sources

Prediction of a Small Area Mean for an Infinite Population when the Variance Components Are Random [PDF]

In this paper, we propose a new model with random variance components for estimating small area characteristics. Under the proposed model, we derive the empirical best linear unbiased estimator, an approximation to terms of order and an estimator whose ...
Stefan, Marius
core