Results 61 to 70 of about 91,736 (294)

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

open access: yesJournal 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

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

open access: yesCommunications 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

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

open access: yesAdvanced 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

Testing capital structure theories using error correction models: Evidence from China, India, and South Africa

open access: yesCogent Economics & Finance, 2018
The objective of this study is to empirically examine the capital structure theories that can explain the capital structure choice made by the firms that are operating in China, India, and South Africa. The study tests the capital structure theories as a
M. Kannadhasan   +3 more
doaj   +1 more source

Evaluating Eigenvector Spatial Filter Corrections for Omitted Georeferenced Variables

open access: yesEconometrics, 2016
The Ramsey regression equation specification error test (RESET) furnishes a diagnostic for omitted variables in a linear regression model specification (i.e., the null hypothesis is no omitted variables). Integer powers of fitted values from a regression
Daniel A. Griffith, Yongwan Chun
doaj   +1 more source

Small area estimation using nested-error models and auxiliary data

open access: yes, 1983
A prediction approach to small area estimation is presented. The procedure uses survey and auxiliary data and is based on the assumption of a nested-error model.
Harter, Rachel
core   +1 more source

Toward Tunable Magnetic Dirac Semimetals: Mn Doping of Cd3As2

open access: yesAdvanced Functional Materials, EarlyView.
Dilute magnetic doping of topological semimetals offers a pathway to tune the topological phase via time reversal symmetry breaking. This is achieved by alloying the Dirac semimetal Cd3As2 with Mn via molecular beam epitaxy. Magnetotransport measurements provide preliminary evidence of changes to the electronic structure consistent with the emergence ...
Anthony D. Rice   +10 more
wiley   +1 more source

Subsetting reduces the error of MIR spectroscopy models for soil organic carbon prediction in the U.S. Great Plains

open access: yesSoil Security
High demand for soil organic carbon data to support soil health and climate change mitigation efforts must be met with rapid, accurate, and inexpensive measurement methods.
Minerva J. Dorantes   +2 more
doaj   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

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