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Homotopy nonlinear weighted total least squares adjustment
Total least squares estimation based on Gauss–Newton method in nonlinear errors-in-variables (NEIV) model will encounter the problems of convergence,...
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Alternative formulae for robust Weighted Total Least-Squares solutions for Errors-In-Variables models
Weighted Total Least-Squares (WTLS) can optimally solve the issue of parameter estimation in the Errors-In-Variables (EIV) model; however, this...
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Almost unbiased weighted least squares location estimation
Location service demands precise positioning, which can be obtained by applying maximum likelihood or least squares (LS) directly to measurements...
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Sparsity-promoting wide-angle least-squares one-way migration
For structural geology and geophysical exploration, it is of particular importance to get accurate images of salt domes, especially the subsalt...
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The BAB algorithm for computing the total least trimmed squares estimator
Robust estimation in the errors-in-variables (EIV) model remains a difficult problem because of the leverage point and the...
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Total Msplit estimation
M split estimation is a method that enables the estimation of mutually competing versions of parameters in functional observation models. In the...
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Estimation of loss on ignition values of the magnesite minerals using robust multiple regression
Magnesite is an ore used in the production of a wide variety of industrial minerals and compounds and magnesium metal, as well as its alloys. The...
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Robust Regression
The concept of robust regression is explained. Different techniques, such as maximum likelihood employing Gröbner basis, Danish algorithm with...
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A composite clock for robust time–frequency signal generation system onboard a navigation satellite
This research designs a robust time–frequency signal generation system based on the composite atomic clock onboard a navigation satellite, which...
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A weighted mean temperature (Tm) augmentation method based on global latitude zone
The weighted mean temperature ( T m ) is a function of atmospheric temperature and vertical humidity profiles. It plays a crucial role in the progress...
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A robust estimation algorithm for the increasing breakdown point based on quasi-accurate detection and its application to parameter estimation of the GNSS crustal deformation model
Global navigation satellite system (GNSS) velocity fields generally contain outliers due to environmental interference, local crustal activities, or...
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A grid-based ionospheric weighted method for PPP-RTK with diverse network scales and ionospheric activity levels
The performance of precise point positioning real-time kinematic (PPP-RTK) is closely tied to the accuracy of atmospheric corrections, with the...
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Legendre polynomial-based robust Fourier transformation and its use in reduction to the pole of magnetic data
A new inversion based Fourier transformation technique named as Legendre-Polynomials Least-Squares Fourier Transformation (L-LSQ-FT) and...
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Stochastic modeling with robust Kalman filter for real-time kinematic GPS single-frequency positioning
The centimeter-level positioning accuracy of real-time kinematic (RTK) depends on correctly resolving integer carrier-phase ambiguities. To improve...
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Chebyshev polynomial-based Fourier transformation and it’s use in low pass filter of gravity data
In this paper, we introduce the novel Chebyshev Polynomials Least-Squares Fourier Transformation (C-LSQ-FT) and its robust variant with the...
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Structural plane recognition from three-dimensional laser scanning points using an improved region-growing algorithm based on the robust randomized Hough transform
The staggered distribution of joints and fissures in space constitutes the weak part of any rock mass. The identification of rock mass structural...
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Enhancing drought monitoring through spatial downscaling: A geographically weighted regression approach using TRMM 3B43 precipitation in the Urmia Lake Basin
Efficient drought monitoring in the Urmia Lake basin (ULB) is imperative to protect its ecosystem, agriculture, and the livelihoods of local...
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Geographically Weighted Method Integrated with Logistic Regression for Analyzing Spatially Varying Accuracy Measures of Remote Sensing Image Classification
The accuracy of thematic information extracted from remote sensing image is assessed recurrently using the confusion matrix method. But the...
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Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data
Mud logging data, which quantify the energy expended in rock breaking during drilling, are routinely acquired during drilling. These data offer a...
