weighted least squares
Construction of Analytical Curve Fit Models for Simvastatin using Ordinary and Weighted Least Squares Methods
... or weighted least squares methods (OLSM or WLSM, respectively) were used to determine the most adequate mathematical model for the analytical curve, beginning from the simplest method (linear) to ...
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Análise linear de cascas com Método de Galerkin Livre de Elementos
... Least Squares. Em Tiago [2], são inicialmente chamados de Distance-Weighted Least Squares e logo identificados como Mínimos Quadrados ...
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J. Microw. Optoelectron. Electromagn. Appl. vol.14 número1
... through weighted least squares to obtain the electrical parameters of the soil in a typical region in mid-western Brazil, which is characterized by highways or streets that cut through rural areas, ...
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J. Braz. Chem. Soc. vol.24 número9
... or weighted least squares methods (OLSM or WLSM, respectively) were used to determine the most adequate mathematical model for the analytical curve, beginning from the simplest method (linear) to ...
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Robust framework for PET image reconstruction incorporating system and measurement uncertainties.
... In Positron Emission Tomography (PET), an optimal estimate of the radioactivity concentration is obtained from the measured emission data under certain criteria. So far, all the well-known statistical reconstruction ...
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Context-Specific Metabolic Model Extraction Based on Regularized Least Squares Optimization.
... the Least Absolute Shrinkage and Selection Operator, abbreviated as LASSO [24], has become very popular in high-dimensional regression problems with n explanatory variables and m observations, where ...
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Electricity load demand forecasting in Portugal using least-squares support vector machines
... at least as good as those of RBF ANN, and also the ability to overcome the difficulties founded by RBF ANN in on-line ...prediction. Least-Squares Support Vector Machines (LS-SVMs) are a good ...
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ACCURACY IMPROVEMENT BY THE LEAST SQUARES IMAGE MATCHING EVALUATED ON THE CARTOSAT-1
... In Fig. 3, ordinate represents the satellite flight direction referred to as the “line direction” and the abscissa indicates the line across the sensor detectors, referred to as “scan direction”. The measurement ...
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The optimal number of partial least squares components in genomic selection for pork pH
... CAMPOS, C.F. et al. Genomic selection for boar taint compounds and carcass traits in a commercial pig population. Livestock Science, Amsterdam, v.174, p.10-17, 2015. Available from: <http://www. ...
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A hybrid least squares support vector machines and GMDH approach for river flow forecasting
... Least squares support vector machines (LSSVM), as a modification of SVM which was introduced by Suykens ...the least squares linear system as its loss function, which is computationally ...
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TOWARDS A GENERIC METHOD FOR BUILDING-PARCEL VECTOR DATA ADJUSTMENT BY LEAST SQUARES
... As a reference, we also implemented a basic algorithm, based on an individual correction of buildings followed by a snapping point operation (same as described previously). The optimal dis- placement for each building is ...
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Multivariate curve resolution with alternating least squares: description, operation and aplications.
... ALTERNATING LEAST SQUARES: DESCRIPTION, OPERATION AND ...Alternating Least Squares (MCR-ALS) is a resolution method that has been efficiently applied in many different fields, such as process ...
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Least-squares Spectral Element Methods for Parabolic Problems on Smooth Domains using Parallel Computers
... study least-squares spectral element methods for parabolic initial boundary value ...the least-squares formulation can be solved by the preconditioned conjugate gradient method ...
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Least squares image matching: A comparison of the performance of robust estimators
... The intensity and coordinates of all corresponding pixels from the two patches are grouped together in the form of (2). Hence a design matrix and its corresponding observations are formed. Generally the number of ...
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Diffusional Kurtosis Imaging using a fast Heuristic Constrained Linear Least Squares Algorithm: a plugin for OsiriX
... The CLLS formulation is simply a casting of the tensor estimation problem as linear least squares with linear constrains safeguarding the physical and bio- logical meaning of directional diffusivities and ...
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A brief look at the least-squares approach as a classifier applied to restricted-vocabulary speech recognition
... In the algorithm above, the sampling rate and the quantization chosen, i.e., at least 8000Hz, 16-bit, is the one necessary to preserve frequencies below 4000 Hz, according to Nyquist’s sampling theorem [2]. This ...
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Comunidades energéticas sustentáveis: estudo de implementação de uma comunidade eólica no Algarve
... Orthogonal Least Squares - OLS), o algoritmo linear de ajustamento do valor da variância (Variance Ratio Algorithm - VR) (Rogers, Rogers, & Manwell, 2005), o algoritmo de Weibull (Weibull Fit Algorithm ...
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Case Study: Keystone XL, Nebraska State - USA
... this least cost route was 1 km longer than existing pipeline in area but it was 29% less costly compare with existing ...the least cost model accurately displayed a more economical route and can be ...
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River flow time series using least squares support vector machines
... Abstract. This paper proposes a novel hybrid forecast- ing model known as GLSSVM, which combines the group method of data handling (GMDH) and the least squares sup- port vector machine (LSSVM). The GMDH is ...
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Physico-chemical characterization of prato cheese by infrared spectroscopy and partial least squares regression.
... Mean Squares Error of Calibration) e de previsão (RMSEP – Root Mean Squares Error of Predicton), onde n repre- senta o número de amostras na fase de calibração e de validação, ...
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