Allometric Equations for Predicting Agave lechuguilla Torr. Aboveground Biomass in Mexico

CJ Flores-Hernández, J Méndez-González… - Forests, 2020 - mdpi.com
Quantifying biomass is important for determining the carbon stores in land ecosystems. The
objective of this study was to predict aboveground biomass (AGB) of Agave lechuguilla Torr …

Variable selection for partially linear additive models

G Boente, A Martínez - arXiv preprint arXiv:2401.10869, 2024 - arxiv.org
Among semiparametric regression models, partially linear additive models provide a useful
tool to include additive nonparametric components as well as a parametric component …

Robust Elastic Net Estimators for High Dimensional Generalized Linear Models

M Valdora, C Agostinelli - arXiv preprint arXiv:2312.04661, 2023 - arxiv.org
Robust estimators for Generalized Linear Models (GLMs) are not easy to develop because
of the nature of the distributions involved. Recently, there has been an increasing interest in …

Penalized robust estimators in logistic regression with applications to sparse models

AM Bianco, G Boente, G Chebi - arXiv preprint arXiv:1911.00554, 2019 - arxiv.org
Sparse covariates are frequent in classification and regression problems and in these
settings the task of variable selection is usually of interest. As it is well known, sparse …

[PDF][PDF] La real fábula Robusta en la valuación inmobiliaria

MC Pérez - 2023 - academia.edu
En este ensayo se hace un análisis crítico al procedimiento alternativo para estimar el valor
inmobiliario cuando se analiza una pequeña muestra del mercado aplicando Estadística …

[PDF][PDF] Estimación robusta en modelos semiparamétricos bajo restricciones de monotonıa

P Vena - 2019 - cms.dm.uba.ar
Los modelos semiparamétricos se introducen cuando el modelo lineal resulta insuficiente
para explicar la relación entre la variable de respuesta y sus covariables asociadas. Por un …