Results 21 to 30 of about 1,409,985 (359)
Remote 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
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Functional Plant Breeding Journal, 2020 This paper presents the state of the art of the statistical modelling as applied to plant breeding. Classes of inference, statistical models, estimation methods and model selection are emphasized in a practical way.
Marcos Deon Vilela de Resende +1 more
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Categorical Data Analysis: Away from ANOVAs (transformation or not) and towards Logit Mixed Models.
Journal of Memory and Language, 2008 T. Jaeger, Cognitive Sciences
semanticscholar +3 more sources
Mathematics, 2022 Geographically Weighted Regression (GWR) is the development of multiple linear regression models used in spatial data. The assumption of spatial heterogeneity results in each location having different characteristics and allows the relationships between ...
Lilis Laome +2 more
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JULIAN J. FARAWAY. Extending the Linear Model with R: Generalized Linear, Mixed Effects, and Nonparametric Regression Models, 2nd edition. Boca Raton: CRC Press [PDF]
, 2017 A. Galecki
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partR2: partitioning R2 in generalized linear mixed models
bioRxiv, 2020 The coefficient of determination R2 quantifies the amount of variance explained by regression coefficients in a linear model. It can be seen as the fixed-effects complement to the repeatability R (intra-class correlation) for the variance explained by ...
M. Stoffel, S. Nakagawa, H. Schielzeth
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Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke
Acta Silvae et Ligni, 2021 We present seven alternative statistical models for modelling tree diameter increment with data from permanent sampling plots. In addition to the polynomial regression model, we present a regression model with added random noise, a mixed linear model ...
Andrej Ficko, Vasilije Trifković
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Double Penalized Expectile Regression for Linear Mixed Effects Model
Symmetry, 2022 This paper constructs the double penalized expectile regression for linear mixed effects model, which can estimate coefficient and choose variable for random and fixed effects simultaneously. The method based on the linear mixed effects model by cojoining double penalized expectile regression.
Sihan Gao +4 more
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On the estimation of variance parameters in non-standard generalised linear mixed models: application to penalised smoothing [PDF]
Statistics and computing, 2018 We present a novel method for the estimation of variance parameters in generalised linear mixed models. The method has its roots in Harville (J Am Stat Assoc 72(358):320–338, 1977)’s work, but it is able to deal with models that have a precision matrix ...
M. Rodríguez-Álvarez +3 more
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Analysis of neonatal clinical trials with twin births
BMC Medical Research Methodology, 2009 Background In neonatal trials of pre-term or low-birth-weight infants, twins may represent 10–20% of the study sample. Mixed-effects models and generalized estimating equations are common approaches for handling correlated continuous or binary data ...
Shaffer Michele L +2 more
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