Results 91 to 100 of about 536,991 (288)
Modified Weighted Least Squares Method to Improve Active Distribution System State Estimation
The development of communications and telecommunications infrastructure, followed by the extension of a new generation of smart distribution grids, has brought real-time control of distribution systems to electrical industry professionals’ attention ...
M. Ajoudani +2 more
doaj
On estimating gravity anomalies: A comparison of least squares collocation with least squares techniques [PDF]
The least squares collocation algorithm for estimating gravity anomalies from geodetic data is shown to be an application of the well known regression equations which provide the mean and covariance of a random vector (gravity anomalies) given a ...
Argentiero, P., Lowrey, B.
core +1 more source
A Combined Preconditioning Strategy for Nonsymmetric Systems
We present and analyze a class of nonsymmetric preconditioners within a normal (weighted least-squares) matrix form for use in GMRES to solve nonsymmetric matrix problems that typically arise in finite element discretizations.
Barker, Andrew T. +2 more
core +1 more source
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick +19 more
wiley +1 more source
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source
Algorithms and statistical analysis for linear structured weighted total least squares problem
Weighted total least squares (WTLS) have been regarded as the standard tool for the errors-in-variables (EIV) model in which all the elements in the observation vector and the coefficient matrix are contaminated with random errors.
Jian Xie +4 more
doaj +1 more source
Fusion of GNSS Pseudoranges with UWB Ranges Based on Clustering and Weighted Least Squares. [PDF]
Retscher G, Kiss D, Gabela J.
europepmc +1 more source
Adaptive Estimation of Autoregressive Models with Time-Varying Variances [PDF]
Stable autoregressive models of known finite order are considered with martingale differences errors scaled by an unknown nonparametric time-varying function generating heterogeneity.
Ke-Li Xu, Peter C.B. Phillips
core
ABSTRACT Objective In multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge.
Amy W. Laitinen +7 more
wiley +1 more source
Weighted least-squares regression with competing risks data. [PDF]
Choi S, Choi T, Cho H, Bandyopadhyay D.
europepmc +1 more source

