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Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus
(Instituto Internacional de Ecologia, 2014-02-01)
We developed linear equations to predict the leaf area (LA) of the species Styrax pohlii and Styrax ferrugineus using the width (W) and length (L) leaf dimensions. For both species the linear regression (Y=α+bX) using LA ...
Influence Assessment in an Heteroscedastic Errors-in-Variables Model
(TAYLOR & FRANCIS INC, 2012)
The main goal of this article is to consider influence assessment in models with error-prone observations and variances of the measurement errors changing across observations. The techniques enable to identify potential ...
A comparison of modeling techniques to predict hydrological indices in ungauged rivers
(Asociación Ibérica de Limnología (AIL), 2020)
Nonparametric Bayesian modelling using skewed Dirichlet processes
(ELSEVIER, 2009)
We introduce a new class of discrete random probability measures that extend the definition of Dirichlet process (DP) by explicitly incorporating skewness. The asymmetry is controlled by a single parameter in such a way ...
Quantile Regression In Linear Mixed Models: A Stochastic Approximation Em Approach
(Int Press Boston, IncSomerville, 2017)
Evaluation of multiple linear regression model to obtain dbh of trees using data from a lightweight laser scanning system on-board a uav
(2019-06-04)
Vegetation mapping requires information about trees and underlying vegetation to ensure proper management of the urban and forest environments. This information can be obtained using remote sensors. For instance, lightweight ...
Measuring time series predictability using support vector regression
(TAYLOR & FRANCIS INC, 2008)
Most studies involving statistical time series analysis rely on assumptions of linearity, which by its simplicity facilitates parameter interpretation and estimation. However, the linearity assumption may be too restrictive ...
Partially linear censored regression models using heavy-tailed distributions: A Bayesian approach
(Elsevier Science BvAmsterdamHolanda, 2014)