Results 51 to 60 of about 15,100,752 (291)

The Power of F Tests Under Regression Models with Nested Error Structure

Journal of Multivariate Analysis, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rao, J.N.K., Wang, S.G.
openaire   +2 more sources

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

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

, 2007
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 ...
MOLINA ISABEL, Pratesi, Monica, Molina, Isabel, Isabel Molina, Nicola Salvati, Monica Pratesi, Salvati, Nicola   +6 more
core   +1 more source

Development and interpretation of a machine learning model for predicting body mass index in Chinese adolescents: a prospective cohort study

Frontiers in Public Health
PurposesThis study aimed to develop a machine learning model to predict body mass index (BMI) in adolescents based on readily accessible daily information and to investigate the influence of modifiable factors on BMI changes through model interpretation ...
Zikang Zhang, Zikang Zhang, Wei Peng, Wei Peng, Shaoming Sun, Shaoming Sun, Fangwen Zhang, Fangwen Zhang, Yining Sun, Lei Huang, Lei Huang   +10 more
doaj   +1 more source

Segmentation of Printed Circuit Board Components Based on Nested U-shape Structures [PDF]

Jisuanji gongcheng
As an important modern electronic component, component segmentation of highly integrated Printed Circuit Boards (PCB) is a typical small-object image segmentation task. Owing to the excessive introduction of complex backgrounds, component segmentation of
LI Zhijin, FAN Xiaozhen, YAN Jinfeng
doaj   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Estimation and Prediction in Transformed Nested Error Regression Models

, 2014
This manuscript is superseded by "Adaptively transformed mixed model prediction of general finite population parameters" by Sugasawa and Kubokawa (arXiv:1705.04136)
Sugasawa, Shonosuke, Kubokawa, Tatsuya
openaire   +2 more sources

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Nested sampling for Potts models [PDF]

, 2006
Nested sampling is a new Monte Carlo method by Skilling [1] intended for general Bayesian computation. Nested sampling provides a robust alternative to annealing-based methods for computing normalizing constants.
Skilling, John, Iain Murray, MacKay, David J. C., David J. C. Mackay, Murray, Iain; id_orcid, Ghahramani, Zoubin, Zoubin Ghahramani, John Skilling   +7 more
core  

Empirical best linear unbiased predictors in multivariate nested-error regression models [PDF]

Communications in Statistics - Theory and Methods, 2019
For analyzing unit-level multivariate data in small area estimation, we consider the multivariate nested error regression model (MNER) and provide the empirical best linear unbiased predictor (EBLUP) of a small area characteristic based on second-order unbiased and consistent estimators of the `within' and `between' multivariate components of variance.
Ito, Tsubasa, Kubokawa, Tatsuya
openaire   +2 more sources