Results 61 to 70 of about 89,713 (255)
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, 2014 This manuscript is superseded by "Adaptively transformed mixed model prediction of general finite population parameters" by Sugasawa and Kubokawa (arXiv:1705.04136)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
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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
Frontiers in Public HealthPurposesThis 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 +10 more
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Segmentation of Printed Circuit Board Components Based on Nested U-shape Structures [PDF]
Jisuanji gongchengAs 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
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Total variation with overlapping group sparsity for image deblurring under impulse noise. [PDF]
PLoS ONE, 2015 The total variation (TV) regularization method is an effective method for image deblurring in preserving edges. However, the TV based solutions usually have some staircase effects.
Gang Liu +3 more
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Advanced Engineering Materials, EarlyView.Enhancing ultrasound transmission through an aberration layer exhibiting mismatched impedance with the surrounding medium possesses great implications in imaging and treatment. In this study, we show that a space‐coiling acoustic metamaterial with judiciously tailored structural profile can help improve impedance matching.
Maral Ghanami +4 more
wiley +1 more source
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.
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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
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Evaluating Eigenvector Spatial Filter Corrections for Omitted Georeferenced Variables
Econometrics, 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
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Advanced Healthcare Materials, EarlyView.Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source