Results 51 to 60 of about 15,053,099 (290)

Automating nested watershed delineation over the world considering endorheic basins and islands

International Journal of Digital Earth
Global-scale nested watershed datasets are foundational for hydrological studies. However, their construction is not yet fully automated, making the process labor-intensive and time-consuming, primarily due to the lack of algorithms capable of encoding ...
Junzhi Liu, Bin Zhang, Yefeng Que, Shaoyi Tian, Wanhong Yang, Wei Hou   +5 more
doaj   +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.
openaire   +2 more sources

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +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

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

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

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

Cogent 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, Bhanu Pratap Singh Thakur, C.P. Gupta, Parikshit Charan   +3 more
doaj   +1 more source