Results 81 to 90 of about 1,509,637 (194)
The least squares method for option pricing revisited [PDF]
, 2015 It is shown that the the popular least squares method of option pricing converges even under very general assumptions. This substantially increases the freedom of creating different implementations of the method, with varying levels of computational ...
Klimek, Maciej, Pitera, Marcin
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, 2014 The approximation of tensors has important applications in various disciplines, but it remains an extremely challenging task. It is well known that tensors of higher order can fail to have best low-rank approximations, but with an important exception ...
Espig, Mike, Khachatryan, Aram
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Using the Least Squares Method for the Ggeneration of Digital Precipitation Model [PDF]
نشریه جغرافیا و برنامهریزی, 2016 One of the most important procedures in the water sources studies is the estimation of the local distribution of precipitation in different time scales. The study of precipitation is a basic element in the water balance studies and is an important factor
MohammadHoseein Rezaei Moghaddam +4 more
doaj
Least-squares finite element method for fluid dynamics [PDF]
An overview is given of new developments of the least squares finite element method (LSFEM) in fluid dynamics. Special emphasis is placed on the universality of LSFEM; the symmetry and positiveness of the algebraic systems obtained from LSFEM; the ...
Jiang, Bo-Nan, Povinelli, Louis A.
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A least squares method for the reduction of free-oscillation data [PDF]
Least squares determination of frequency, damping ratio, amplitude, and phase angle from free oscillation ...
Crawford, W. L., Wilcox, P. R.
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Joint Demosaicing and Denoising Based on Interchannel Nonlocal Mean Weighted Moving Least Squares Method. [PDF]
Sensors (Basel), 2020 Kim Y, Ryu H, Lee S, Lee YJ.
europepmc +1 more source
ROBUST TWO�STAGE LEAST SQUARES: SOME MONTE CARLO EXPERIMENTS [PDF]
The Two�Stage Least Squares (2�SLS) is a well known econometric technique used to estimate the parameters of a multi�equation econometric model when errors across the equations are not correlated and the equation(s) concerned is (are) overï ...
Sudhanshu Kumar MISHRA
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Generalized Nonlinear Least Squares Method for the Calibration of Complex Computer Code Using a Gaussian Process Surrogate. [PDF]
Entropy (Basel), 2020 Lee Y, Park JS.
europepmc +1 more source
The Application of Robust Least Squares Method in Frequency Lock Loop Fusion for Global Navigation Satellite System Receivers. [PDF]
Sensors (Basel), 2020 Han M, Wang Q, Wen Y, He M, He X.
europepmc +1 more source
, 2019 Multicollinearity due to strongly correlated predictor variables is a long-standing problem in regression analysis. It leads to difficulties in parameter estimation, inference, variable selection and prediction for the least squares regression.
Tsao, Min
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