Total Least Squares Spline Approximation [PDF]
, 2019 Spline approximation, using both values yi and xi as observations, is of vital importance for engineering geodesy, e.g., for approximation of profiles measured with terrestrial laser scanners, because it enables the consideration of arbitrary dispersion ...
Ezhov, Nikolaj +2 more
core +1 more source
OUTLIER DETECTION IN PARTIAL ERRORS-IN-VARIABLES MODEL [PDF]
, 2017 The weighed total least square (WTLS) estimate is very sensitive to the outliers in the partial EIV model. A new procedure for detecting outliers based on the data-snooping is presented in this paper.
Gui, Qingming, Zhao, Jun
core +5 more sources
Parameter estimation of three-phase untransposed short transmission lines from synchrophasor measurements [PDF]
, 2020 We present a new approach for estimating the parameters of three-phase untransposed electrically short transmission lines using voltage/current synchrophasor measurements obtained from phasor measurement units.
Le Boudec, Jean-Yves +3 more
core +2 more sources
Türkiye’nin batısında 3B datum dönüşümü için en küçük kareler yaklaşımlarının karşılaştırma analizi [PDF]
, 2017 In Turkey, the national reference frame was changed for geodetic applications in parallel with the increasing use of Global Navigation Satellite System technology.
Baybura, Tamer +2 more
core +1 more source
Deformation analysis by an improved similarity transformation
Applied Computing and GeosciencesIn this contribution, deformation analysis is rigorously performed by a non-linear 3-D similarity transformation. In contrast to traditional methods based on linear least-squares (LLS), here we solve a non-linear problem without any linearization.
Vahid Mahboub
doaj +1 more source
Metrological traceability of Polycyclic Aromatic Hydrocarbons (PAHs) measurements in green tea and mate [PDF]
, 2017 The development of suitable analytical methods to obtain metrologically traceable results in the determination of toxicants in food matrices is an important issue, as food represents the main way of assumption of many contaminants, among which the ...
PENNECCHI, FRANCESCA ROMANA +3 more
core +1 more source
A New Algorithm for Generalization of Least Square Method for Straight Line Regression in Cartesian System for Fully Correlated Both Coordinates [PDF]
, 2021 This work presents the estimation of parameters and uncertainty of straight regression line using the least square method when both coordinates in Cartesian System XOY are affected by errors and fully correlated.
Jacek Grzegorz Puchalski
core +2 more sources
Water Resources Research, Volume 55, Issue 11, Page 9689-9704, November 2019., 2019 Abstract In the mountains of Norway, snow depth (SD) is highly variable due to strong winds and open terrain. To investigate snow conditions on one of Europe's largest mountain plateaus, Hardangervidda, we conducted snow measurement campaigns in spring 2008 and 2009 using airborne lidar scanning at the approximate time of annual snow maximum (mid‐April)
T. Skaugen, K. Melvold
wiley +1 more source
Algorithms and statistical analysis for linear structured weighted total least squares problem
Geodesy and GeodynamicsWeighted 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
Robust Prediction Algorithm Based on a General EIV Model for Multiframe Transformation
Mathematical Problems in Engineering, Volume 2019, Issue 1, 2019., 2019 In modern geodesy, there are cases in which the target frame is unique and there is more than one source frame. Helmert transformations, which are extensively used to solve transformation parameters, can be separately solved between the target frame and one of the source frames.
Lihui Yao +4 more
wiley +1 more source