Results 11 to 20 of about 819,272 (292)

Estimating biomass of mixed and uneven-aged forests using spectral data and a hybrid model combining regression trees and linear models

open access: yesiForest - Biogeosciences and Forestry, 2016
The Sierra Madre Occidental mountain range (Durango, Mexico) is of great ecological interest because of the high degree of environmental heterogeneity in the area.
López-Serrano Pablito M   +6 more
doaj   +2 more sources

Application of Linear Mixed-Effects Models in Human Neuroscience Research: A Comparison with Pearson Correlation in Two Auditory Electrophysiology Studies

open access: yesBrain Sciences, 2017
Neurophysiological studies are often designed to examine relationships between measures from different testing conditions, time points, or analysis techniques within the same group of participants.
Tess K. Koerner, Yang Zhang
doaj   +3 more sources

Non-linear and mixed regression models in predicting sustainable concrete strength

open access: yesConstruction and Building Materials, 2018
Ruoyu Jin, , Alfred B O Soboyejo
exaly   +2 more sources

Re-Thinking Spatial Confounding in Spatial Linear Mixed Models [PDF]

open access: yesStatistical Science, 2023
In the last two decades, considerable research has been devoted to a phenomenon known as spatial confounding. Spatial confounding is thought to occur when there is multicollinearity between a covariate and the random effect in a spatial regression model.
Kori Khan, C. Berrett
semanticscholar   +1 more source

Gradient boosting for linear mixed models [PDF]

open access: yesThe International Journal of Biostatistics, 2020
Gradient boosting from the field of statistical learning is widely known as a powerful framework for estimation and selection of predictor effects in various regression models by adapting concepts from classification theory.
C. Griesbach   +2 more
semanticscholar   +1 more source

Rates of Glaucoma Progression Derived from Linear Mixed Models Using Varied Random Effect Distributions

open access: yesmedRxiv, 2021
Purpose: To compare the ability of linear mixed models with different random effect distributions to estimate rates of visual field loss in glaucoma patients. Design: Retrospective cohort study.
S. Swaminathan   +4 more
semanticscholar   +1 more source

On the mixed Kibria–Lukman estimator for the linear regression model

open access: yesScientific Reports, 2022
AbstractThis paper considers a linear regression model with stochastic restrictions,we propose a new mixed Kibria–Lukman estimator by combining the mixed estimator and the Kibria–Lukman estimator.This new estimator is a general estimation, including OLS estimator, mixed estimator and Kibria–Lukman estimator as special cases. In addition, we discuss the
Hongmei Chen, Jibo Wu
openaire   +3 more sources

Statistical analysis of comparative tumor growth repeated measures experiments in the ovarian cancer patient derived xenograft (PDX) setting

open access: yesScientific Reports, 2021
Repeated measures studies are frequently performed in patient-derived xenograft (PDX) models to evaluate drug activity or compare effectiveness of cancer treatment regimens. Linear mixed effects regression models were used to perform statistical modeling
Ann L. Oberg   +13 more
doaj   +1 more source

Using Airborne Lidar, Multispectral Imagery, and Field Inventory Data to Estimate Basal Area, Volume, and Aboveground Biomass in Heterogeneous Mixed Species Forests: A Case Study in Southern Alabama

open access: yesRemote Sensing, 2022
Airborne light detection and ranging (lidar) has proven to be a useful data source for estimating forest inventory metrics such as basal area (BA), volume, and aboveground biomass (AGB) and for producing wall-to-wall maps for validation of satellite ...
Schyler Brown   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy