Results 21 to 30 of about 90,279 (294)
Accurate forest biomass estimates require the selection of appropriate models of individual trees. Thus, two properties are required in tree biomass modeling: (1) additivity of biomass components and (2) estimator efficiency. This study aimed to develop
Thiago Wendling Gonçalves de Oliveira +4 more
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Scaled weighted total least-squares adjustment for partial errors-in-variables model
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.
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The effects of infrastructure and public investment on the elasticity of private investment: an empirical investigation for Brazil [PDF]
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
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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
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Development of Douglas fir merchantable stem volume model in the conditions of the Czech Republic
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
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The daily and monthly data of the total radiation are used for estimation of the relationship between diffuse and total radiation in Hradec Králové. Analyses were expressed in parameters with the use of the method of least squares and a "Robust Locally ...
Michal Janouch
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The Gauss-Markov (GM) model and the Errors-in-Variables (EIV) model are frequently used to perform 3D coordinate transformations in geodesy and engineering surveys.
Hu Chuan, Chen Yi
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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
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Deformation analysis by an improved similarity transformation
In 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
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Low-Dose CT Image Reconstruction With a Deep Learning Prior
In low-dose computed tomography (LDCT), a penalized weighted least squares (PWLS) approach that incorporates the Poisson statistics of X-ray photons can significantly reduce excessive quantum noise.
Hyoung Suk Park +2 more
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