Results 21 to 30 of about 525,476 (324)

Implicitly-weighted total least squares

open access: yesLinear Algebra and its Applications, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Park, Sungwoo, O’Leary, Dianne P.
openaire   +2 more sources

Scaled weighted total least-squares adjustment for partial errors-in-variables model

open access: yesJournal of Geodetic Science, 2016
Scaled total least-squares (STLS) unify LS, Data LS, and TLS with a different choice of scaled parameter. The function of the scaled parameter is to balance the effect of random error of coefficient matrix and observation vector for the estimate of ...
Zhao J.
doaj   +1 more source

The effects of infrastructure and public investment on the elasticity of private investment: an empirical investigation for Brazil [PDF]

open access: yesBrazilian Journal of Political Economy, 2023
This study estimates the determinants of the elasticities of private investment and total investment for the Brazilian economy for the period between 1960 and 2013.
JEFFERSON S. FRAGA   +1 more
doaj   +1 more source

Dataset of diatom abundances and diatom-inferred total phosphorus and electrical conductivity for Lake Tavatui (Middle Urals, Russi) over the last 11.7 cal ka BP

open access: yesData in Brief, 2022
This paper presents the diatom data on Holocene sediments of Lake Tavatui (Middle Urals, Russia). The dataset includes abundances of 160 diatom taxa and quantitative reconstructions of total phosphorus and electrical conductivity of lake water through ...
A.V. Maslennikova
doaj   +1 more source

Bearing-only target localization with uncertainties in observer position [PDF]

open access: yes, 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

open access: yesJournal 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]

open access: yes, 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]

open access: yes, 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

Tikhonov regularization for weighted total least squares problems

open access: yesApplied Mathematics Letters, 2007
A general version of Tikhonov's formulation for the linear weighted total least squares (WTLS) problem has been considered by \textit{G. H. Golub} and \textit{C. F. van Loan} [SIAM J. Numer. Anal. 17, 883--893 (1980; Zbl 0468.65011)]. The present paper focus on the regularized weighted total least squares (RWTLS) formulation. It is shown that the RWTLS
Wei, Yimin   +3 more
openaire   +1 more source

Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling [PDF]

open access: yes, 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

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