Results 31 to 40 of about 631,292 (281)

Comparison of linear mixed effects model and generalized model of the tree height-diameter relationship

Journal of Forest Science, 2015
Models of height curves generated using a linear mixed effects model and generalized model were compared. Both tested models were also compared with local models of height curves, which were fitted using a nonlinear regression.
Z. Adamec
doaj   +1 more source

EcoCountHelper: an R package and analytical pipeline for the analysis of ecological count data using GLMMs, and a case study of bats in Grand Teton National Park [PDF]

PeerJ, 2022
Here we detail the use of an R package, ‘EcoCountHelper’, and an associated analytical pipeline aimed at making generalized linear mixed-effects model (GLMM)-based analysis of ecological count data more accessible.
Hunter J. Cole, Dylan GE Gomes, Jesse R. Barber   +2 more
doaj   +2 more sources

Using linear mixed model and dummy variable model approaches to construct compatible single-tree biomass equations at different scales - A case study for Masson pine in Southern China

Journal of Forest Science, 2012
The estimation of forest biomass is important for practical issues and scientific purposes in forestry. The estimation of forest biomass on a large-scale level would be merely possible with the application of generalized single-tree biomass models.
L.Y. Fu, W.S. Zeng, S.Z. Tang, R.P. Sharma, H.K. Li   +4 more
doaj   +1 more source

Investigating the impact of CO2 emissions on the COVID-19 pandemic by generalized linear mixed model approach with inverse Gaussian and gamma distributions

Open Chemistry, 2023
Carbon dioxide (CO2) rate within the atmosphere has been rising for decades due to human activities especially due to usage of fuel types such as coal, cement, flaring, gas, oil, etc.
İyit Neslihan, Sevim Ferhat, Kahraman Ümran Münire   +2 more
doaj   +1 more source

Varying coefficient models as Mixed Models : reparametrization methods and bayesian estimation [PDF]

, 2013
Non-linear relationships are accommodated in a regression model using smoothing functions. Interaction may occurs between continuous variable, in this case interaction between nonlinear and linear covariate leads to varying coefficent model (VCM), a ...
Freni Sterrantino, Anna
core   +1 more source

Correction: Quantifier spreading: Children misled by ostensive cues

Glossa, 2019
This article details a correction to the article É. Kiss, Katalin & Tamás Zétényi. 2017. Quantifier spreading: children misled by ostensive cues. Glossa: A Journal of General Linguistics 2(1). 38.
Katalin É. Kiss, Katalin Mády, Tamás Zétényi   +2 more
doaj   +2 more sources

Child stunting prevalence determination at sector level in Rwanda using small area estimation

BMC Nutrition, 2023
Background Stunting among children under 5 years of age remains a worldwide concern, with 148.1 million (22.3%) stunted in 2022. The recent 2019/2020 Rwanda Demographic Health Survey (RDHS) revealed that the prevalence of stunting in Rwanda among under ...
Innocent Ngaruye, Joseph Nzabanita, François Niragire, Theogene Rizinde, Joseph Nkurunziza, Jean Bosco Ndikubwimana, Charles Ruranga, Ignace Kabano, Dieudonne N. Muhoza, Jeanine Ahishakiye   +9 more
doaj   +1 more source

A generalized linear mixed model for longitudinal binary data with a marginal logit link function [PDF]

, 2011
Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudinal binary data is that the marginal functional form, when integrated over
Fitzmaurice, Garrett M., Ghosh, Souparno, Ibrahim, Joseph G., Lipsitz, Stuart, Mallick, Bani K., Parzen, Michael, Sinha, Debajyoti   +6 more
core   +3 more sources

A Generalized Linear Mixed Model for Data Breaches and Its Application in Cyber Insurance

Risks, 2022
Data breach incidents result in severe financial loss and reputational damage, which raises the importance of using insurance to manage and mitigate cyber related risks.
Meng Sun, Yi Lu
doaj   +1 more source

Simultaneous Inference in General Parametric Models [PDF]

, 2008
Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level ...
Bates, Bates, Bretz, Bretz, Bullinger, Bönsch, Garcia, Genz, Genz, Genz, Hochberg, Hothorn, Hothorn, Hsu, Marcus, R Development Core Team, Rousseeuw, Salib, Searle, Serfling, Shaffer, Stefanski, Todorov, Tong, Westfall, Westfall, Westfall, Yohai, Zeileis, Zeileis   +29 more
core   +3 more sources