Bearing-only target localization with uncertainties in observer position [PDF]
, 2010 In this paper, the bearing-only target localization problem when the observer positions are subject to error is investigated. In this problem, the angle of arrival of the transmitted signal between target and observer are used to estimate the target ...
Gholami, Mohammad Reza +2 more
core +1 more source
Development of Douglas fir merchantable stem volume model in the conditions of the Czech Republic
Journal of Forest Science, 2023 A precise merchantable stem volume model of Douglas fir [Pseudotsuga menziesii (Mirb.) Franco] is missing in the Czech Republic. The aim of this study was to fit a new model through the reparametrization of volume equations (used in the Czech Republic or
Radoslav Hlavica, Zdeněk Adamec
doaj +1 more source
RSS-based sensor localization with unknown transmit power [PDF]
, 2011 Received signal strength (RSS)-based single source localization when there is not a prior knowledge about the transmit power of the source is investigated.
Gholami, Mohammad Reza +2 more
core +1 more source
Bias Correction in Logarithmic Regression and Comparison with Weighted Regression for Nonlinear Models [PDF]
, 2011 Non-linear models with heteroscedasticity are commonly used in ecological and forestry modeling, and logarithmic regression and weighted regression are usually employed to estimate the parameters. Using the single-tree biomass data of three large samples,
Shou Zheng Tang, Wei Sheng Zeng
core +2 more sources
Soil radium, soil gas radon and indoor radon empirical relationships to assist in post-closure impact assessment related to near-surface radioactive waste disposal [PDF]
, 2009 Least squares (LS), Theil’s (TS) and weighted total least squares (WTLS) regression analysis methods are used to develop empirical relationships between radium in the ground, radon in soil and radon in dwellings to assist in the post-closure assessment ...
J.D. Appleton +32 more
core +4 more sources
On a Problem of Weighted Low-Rank Approximation of Matrices
, 2017 We study a weighted low rank approximation that is inspired by a problem of constrained low rank approximation of matrices as initiated by the work of Golub, Hoffman, and Stewart (Linear Algebra and Its Applications, 88-89(1987), 317-327).
Dutta, Aritra, Li, Xin
core +1 more source
, 2007 The Maximum Likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with known error distribution.
Markovsky, Ivan +2 more
core +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
European Journal of Remote Sensing, 2023 Many freely available Digital Elevation Models (DEM) have increasingly been used worldwide due to the difficulty in acquiring accurate elevation data in some regions, emphasizing the need to investigate their accuracy and the factors that may influence ...
Zuleide Ferreira +2 more
doaj +1 more source
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling [PDF]
, 2010 Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data vector as well as in the regression matrix.
Geert Leus +4 more
core +1 more source