Least squares
Auction econometrics by least squares
... ordinary least squares regression of observed transaction prices in the covariates of interest and an additional regressor involving the number of bidders in each ...
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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.
... O método de Resolução Multivariada de Curvas com Mínimos Quadrados Alternantes (MCR-ALS, do inglês Multivariate Curve Resolution with Alternating Least-Squares) é um tipo de MCR no qual a resolução ...
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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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Alternative smoothing strategies in smooth partial least squares path modelling
... Partial Least Squares Path Modelling (PLS-PM) has received a growing interest in recent ...Partial Least Squares (PLSs) estimation technique studied in this work removes any assumptions on the ...
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Least squares image matching: A comparison of the performance of robust estimators
... essentially least squares estimation, which is highly sensitive to ...(least squares estimation) in LSM, and are compared in terms of the success rate, which is one measurement for all the ...
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PARTIAL LEAST SQUARES REGRESSION BASED VARIABLES SELECTION FOR WATER LEVEL PREDICTIONS
... Partial Least Squares (PLS) has been proven to be an effective approach to solve the problems in chemometrics such as by predicting the bioactivity of molecules to facilitate discovery of novel ...
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River flow time series using least squares support vector machines
... Least squares support vector machines (LSSVM), as a modification of SVM was introduced by Suykens and Van- dewalle ...the least squares linear system as its loss function, which is ...
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Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy
... partial least squares (IPLS) and moving window partial least squares (MWPLS) are two local modeling methods which have been com- monly used to select spectral regions in spectroscopy ...
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A test for multigroup comparison using partial least squares path modeling
... Chin, W.W. and Dibbern, J. (2010), “An introduction to a permutation based procedure for multi-group PLS analysis: results of tests of differences on simulated data and a cross cultural analysis of the sourcing of ...
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Physico-chemical characterization of prato cheese by infrared spectroscopy and partial least squares regression.
... PHYSICO-CHEMICAL CHARACTERIZATION OF PRATO CHEESE BY INFRARED SPECTROSCOPY AND PARTIAL LEAST SQUARES REGRESSION. In this work an analytical methodology for the determination of relevant physicochemical ...
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Inversion of Bottom Hole Temperatures for Gradient Determination by the Damped Least Squares Method for Noise Attenuation
... The objective of this study is to obtain the 1-D distribution of the geothermal gradient from the inversion of Bottom Hole Temperature (BHT) data. Before the inversion procedure, Horner correction method was used to ...
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Simulation of electron paramagnetic resonance (EPR) spectra using the non-linear least squares program NLSL.
... SIMULATION OF ELECTRON PARAMAGNETIC RESONANCE (EPR) SPECTRA USING THE NON-LINEAR LEAST SQUARES PROGRAM NLSL. EPR users often face the problem of extracting information from frequently low-resolution and ...
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A brief look at the least-squares approach as a classifier applied to restricted-vocabulary speech recognition
... the least-squares method (LSM) [1] to solve incompatible systems of linear equations (ISLE) is explored in order to create a technique for speech recognition ...
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Construction of Analytical Curve Fit Models for Simvastatin using Ordinary and Weighted Least Squares Methods
... 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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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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ACCURACY IMPROVEMENT BY THE LEAST SQUARES IMAGE MATCHING EVALUATED ON THE CARTOSAT-1
... This paper has demonstrated the success of the classical least squares image matching for accurate image point measurements for the stereo along track satellite images. It has been indicated that in spite ...
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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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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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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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