Results 121 to 130 of about 1,351,383 (295)
Comparison of Smoothing and Truncated Spline Estimators in Estimating Blood [PDF]
, 2019 The functions, namely regression functions, which describe the relationship of more than one response variable observed at several values of the predictor variables in which there are correlations between responses can be estimated by using both ...
Fatmawati, .- +2 more
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Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To evaluate the effectiveness of the MR‐MinMo head stabilization device in mitigating motion artifacts during long‐duration, high‐resolution 7 T MRI scans, with and without retrospective motion correction Methods The MR‐MinMo was tested on seven pediatric and 12 adult healthy volunteers using 0.6 mm isotropic, 3D Multi‐Echo Gradient ...
Jyoti Mangal +10 more
wiley +1 more source
Research on Path Smoothing Method for Robot Scanning Measurement Based on Multiple Curves
ActuatorsAs the field of robotics advances swiftly, industrial automation has become prevalent in the realms of manufacturing and precision measurement. In robot measurement applications, the original path often originates from the discrete output of CAD models ...
Chen Chen +7 more
doaj +1 more source
Bayesian Analysis for Penalized Spline Regression Using WinBUGS
Penalized splines can be viewed as BLUPs in a mixed model framework, which allows the use of mixed model software for smoothing. Thus, software originally developed for Bayesian analysis of mixed models can be used for penalized spline regression ...
Matthew P. Wand +2 more
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Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose Endogenous renal chemical exchange saturation transfer (CEST) imaging enables contrast‐agent‐free assessment of renal metabolism but is highly sensitive to respiratory motion. Existing approaches, such as timed breathing, require high patient compliance or preclinical mechanical ventilation, limiting clinical translation.
Patrik Jan Gallinnis +12 more
wiley +1 more source
Smoothing with Mixed Model Software
Smoothing methods that use basis functions with penalization can be formulated as fits in a mixed model framework. One of the major benefits is that software for mixed model analysis can be used for smoothing.
Matthew P. Wand, Long Ngo
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, 2008 This chapter promotes, details and exploits the fact that (univariate) splines, i.e., smooth piecewise polynomial functions, are weighted sums of B-splines. 1.
Spline Curves (p
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Modeling Biocemented Sands: Hypoplastic Model for MICP‐Based Ground Improvement
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT Bio‐cementation offers a sustainable and low‐carbon alternative to conventional ground improvement methods, aligning with the growing demand for green geotechnical solutions. To enable reliable numerical simulation of bio‐cemented soil behavior in engineering applications, advanced constitutive models are required to account for the effects of
Merita Tafili +3 more
wiley +1 more source
An Improved Cp Criterion for Spline Smoothing
, 2012 [[abstract]]Spline smoothing is a popular technique for curve fitting, in which selection of the smoothing parameter is crucial. Many methods such as Mallows’ Cp, generalized maximum likelihood (GML), and the extended exponential (EE) criterion have been
Chen, Chun-Shu; Huang, Hsin-Cheng
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