Results 11 to 20 of about 430,573 (198)
Comparison of straight line curve fit approaches for determining parameter variances and covariances
Pressure balances are known to have a linear straight line equation of the form y = ax + b that relates the applied pressure x to the effective area y, and recent work has investigated the use of Ordinary Least Squares (OLS), Weighted Least Squares (WLS),
Ramnath Vishal
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Generalized Least Squares Based Channel Estimation for FBMC-OQAM
The presence of intrinsic inter-carrier interference (ICI) and inter-symbol interference (ISI) at the output of the matched filter receiver in filter bank multi-carrier with offset quadrature amplitude modulation (FBMC-OQAM) systems complicates the task ...
Vibhutesh Kumar Singh +2 more
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A Generalized Least-Square Matrix Decomposition [PDF]
Variables in many massive high-dimensional data sets are structured, arising for example from measurements on a regular grid as in imaging and time series or from spatial-temporal measurements as in climate studies. Classical multivariate techniques ignore these structural relationships often resulting in poor performance.
Allen, Genevera I. +2 more
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Generalized Kernel Regularized Least Squares
AbstractKernel regularized least squares (KRLS) is a popular method for flexibly estimating models that may have complex relationships between variables. However, its usefulness to many researchers is limited for two reasons. First, existing approaches are inflexible and do not allow KRLS to be combined with theoretically motivated extensions such as ...
Qing Chang, Max Goplerud
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Residuals-based tests for cointegration with generalized least-squares detrended data [PDF]
We provide generalized least-squares (GLS) detrended versions of single-equation static regression or residuals-based tests for testing whether or not non-stationary time series are cointegrated.
Perron, Pierre, Rodriguez, Gabriel
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This paper considers the parameter identification for a class of nonlinear stochastic systems with colored noise. We filter the input-output data by using an estimated noise transfer function and obtain two identification models, one containing the ...
Longjin Wang, Yan He
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Recently, in the paper [Z.G. Huang, L.G. Wang, Z. Xu, J.J. Cui, Some new preconditioned generalized AOR methods for solving weighted linear least squares problems, Computational and Applied Mathematics, 37(2018) 415-438.], Huang et al, by using the ...
M. Fallah, S. A. Edalatpanah
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Constructive Analysis for Least Squares Regression with Generalized K-Norm Regularization
We introduce a constructive approach for the least squares algorithms with generalized K-norm regularization. Different from the previous studies, a stepping-stone function is constructed with some adjustable parameters in error decomposition.
Cheng Wang, Weilin Nie
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We develop a local convergence of an iterative method for solving nonlinear least squares problems with operator decomposition under the classical and generalized Lipschitz conditions. We consider the case of both zero and nonzero residuals and determine
Ioannis K. Argyros +4 more
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Factors affecting non-performing loans of commercial banks: the role of bank performance and credit growth [PDF]
The recent crisis of non-performing loans in the banking system has hit the Vietnamese economy hard. The GDP has been fallen down, while the bad debt ratio in the banking system has risen dramatically to 17.2 percent, and it takes more time to restore ...
Le Kieu Oanh Dao +3 more
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