Results 41 to 50 of about 48,941 (244)
Analysis of interval‐grouped data in weed science: The binnednp Rcpp package
Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT).
Daniel Barreiro‐Ures +6 more
doaj +1 more source
Bandwidth selection: classical or plug-in?
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Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian +4 more
wiley +1 more source
Asymptotic normality of local linear regression estimator for mixtures with varying concentrations
Finite mixtures with different regression models for different mixture components naturally arise in statistical analysis of biological and sociological data. In this paper a model of mixtures with varying concentrations is considered in which the mixing
Daniel Horbunov, Rostyslav Maiboroda
doaj +1 more source
Bandwidth Selection in Nonparametric Regression with Large Sample Size
In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures +2 more
doaj +1 more source
Bandwidth Selection for Kernel Density Estimation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bandwidth Selection for Local Linear Regression Smoothers
SummaryThe paper presents a general strategy for selecting the bandwidth of nonparametric regression estimators and specializes it to local linear regression smoothers. The procedure requires the sample to be divided into a training sample and a testing sample. Using the training sample we first compute a family of regression smoothers indexed by their
Hengartner, Nicolas W. +2 more
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A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
Variable Bandwidth Selection in Varying-Coefficient Models
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Wenyang, Lee, Sik-Yum
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3D‐Printed Giant Magnetoresistive (GMR) Sensors Based on Self Compliant Springs
This work explores 3D‐printed GMR sensors utilizing self‐compliant spring structures and conductive PLA composites. By optimizing arm width, we achieved high piezoresistive (0.34%/mm) and magnetoresistive (0.77%/mT) sensitivities. Demonstrated through Bluetooth‐integrated pressure and magnetic position sensing, these full printed low‐cost, customizable
Josu Fernández Maestu +4 more
wiley +1 more source

