Results 21 to 30 of about 1,725,137 (297)
Geoplanning: Journal of Geomatics and Planning, 2016 Spirit levelling has been the traditional means of determining Reduced Levels (RL’s) of points by most surveyors. The assertion that the level instrument is the best instrument for determining elevations of points needs to be reviewed; this is because ...
Richard Fiifi Annan +3 more
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Bulletin of Faculty of Pharmacy Cairo University, 2011 Partial least squares regression (PLSR), spectral residual augmented classical least squares (SRACLS) and support vector regression (SVR) are three different chemometric models.
Ibrahim A. Naguib
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Reconciling alternate methods for the determination of charge distributions: A probabilistic approach to high-dimensional least-squares approximations [PDF]
, 2010 We propose extensions and improvements of the statistical analysis of distributed multipoles (SADM) algorithm put forth by Chipot et al. in [6] for the derivation of distributed atomic multipoles from the quantum-mechanical electrostatic potential.
Champagnat, Nicolas +2 more
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Least Squares Moving-Window Spectral Analysis [PDF]
Applied Spectroscopy, 2017 Least squares regression is proposed as a moving-windows method for analysis of a series of spectra acquired as a function of external perturbation. The least squares moving-window (LSMW) method can be considered an extended form of the Savitzky–Golay differentiation for nonuniform perturbation spacing.
openaire +2 more sources
Analysis of moving least squares approximation revisited
, 2015 In this article the error estimation of the moving least squares approximation is provided for functions in fractional order Sobolev spaces. The analysis presented in this paper extends the previous estimations and explains some unnoticed mathematical ...
Mirzaei, Davoud
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Methodology and theory for partial least squares applied to functional data [PDF]
, 2012 The partial least squares procedure was originally developed to estimate the slope parameter in multivariate parametric models. More recently it has gained popularity in the functional data literature.
Delaigle, Aurore, Hall, Peter
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Mathematics, 2019 We study an iterative differential-difference method for solving nonlinear least squares problems, which uses, instead of the Jacobian, the sum of derivative of differentiable parts of operator and divided difference of nondifferentiable parts. Moreover,
Ioannis Argyros +2 more
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Least-squares deconvolution based analysis of stellar spectra
, 2013 In recent years, astronomical photometry has been revolutionised by space missions such as MOST, CoRoT and Kepler. However, despite this progress, high-quality spectroscopy is still required as well.
Tkachenko, A. +2 more
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E-Government Effectiveness and Efficiency in EU-28 and COVID-19
Central European Public Administration Review, 2021 The task of every government, especially during the Covid-19 pandemic, is to provide services and goods for citizens and to maintain economic order. Therefore, the combination of legislation, the judiciary and administration is inevitable.
Sabina Hodžić +2 more
doaj +1 more source
Distributed Recursive Least-Squares: Stability and Performance Analysis
, 2011 The recursive least-squares (RLS) algorithm has well-documented merits for reducing complexity and storage requirements, when it comes to online estimation of stationary signals as well as for tracking slowly-varying nonstationary processes.
Giannakis, Georgios B., Mateos, Gonzalo
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