Results 41 to 50 of about 70,459 (296)
Diagnostics for Smoothing Splines
SUMMARY Diagnostic measures appropriate for use with smoothing splines are derived and their properties are investigated. The proposed measures focus on detection of observations which substantially influence the fit and provide additional information over that obtained from examination of residuals alone. A numerical example illustrates
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Development of Semiparametric Smoothing Spline Path Analysis on Cashless Society
Path analysis requires assumptions to be met, particularly the linearity assumption, which can be tested using the Ramsey Regression Specification Error Test (RESET). Parametric path analysis is appropriate when all variable relationships are linear. For
Muhammad Rafi Hasan Nurdin +4 more
doaj +1 more source
Efficient estimation of smoothing spline with exact shape constraints
Smoothing spline is a popular method in non-parametric function estimation. For the analysis of data from real applications, specific shapes on the estimated function are often required to ensure the estimated function undeviating from the domain ...
Vincent Chan +4 more
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Semiparametric estimation with profile algorithm for longitudinal binary data [PDF]
This article considers analyzing longitudinal binary data semiparametrically and proposing GEE-Smoothing spline in the estimation of parametric and nonparametric components.
Daud, Isa +2 more
core +1 more source
XAFS spectroscopy. I. Extracting the fine structure from the absorption spectra [PDF]
Three independent techniques are used to separate fine structure from the absorption spectra, the background function in which is approximated by (i) smoothing spline.
+6 more
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We use smoothing splines to introduce prior information in nonparametric models. The type of information we consider is based on the belief that the regression curve is similar in shape to a parametric model. The resulting estimator is a convex sum of a fit to data and the parametric model, and it can be seen as shrinkage of the smoothing spline toward
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On algorithms for generalised smoothing splines [PDF]
AbstractRecently, considerable interest has been shown in the connection between smoothing splines and a particular class of stochastic processes. Here the connection with an equivalent class of least squares problems is used to develop algorithms, and properties of the solution are examined.
Osborne, M. R., Prvan, Tania
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A two‐phase workflow (OFAT screening followed by central composite design) maps how processing variables tune PFCE‐PLGA nanoparticle size, dispersity, surface charge, loading, and 19F‐MRI signal. In situ, time‐resolved synchrotron SAXS tracks albumin‐corona growth on intact dispersions and reveals PFCE‐dependent adsorption pathways.
Joice Maria Joseph +11 more
wiley +1 more source
Monotone Smoothing Splines with Bounds [PDF]
AbstractThe problem of monotone smoothing splines with bounds is formulated as a constrained minimization problem of the calculus of variations. Existence and uniqueness of solutions of this problem is proved, as well as the equivalence of it to a finite dimensional but nonlinear optimization problem. A new algorithm for computing the solution which is
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This review explores inorganic metal oxides and metal salt nanoparticles templated porous carbons, highlighting their synthesis, structural features, and performance in energy and environmental applications. It critically compares template types, porosity control, and functional outcomes across recent literature.
Gurwinder Singh +8 more
wiley +1 more source

