Results 11 to 20 of about 18,910,981 (254)
Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models [PDF]
Genetics Selection Evolution, 2010 Background The sensitivity to microenvironmental changes varies among animals and may be under genetic control. It is essential to take this element into account when aiming at breeding robust farm animals.
Fikse Freddy +4 more
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Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation [PDF]
, 2011 Generalized linear mixed models are a widely used tool for modeling longitudinal data. However, their use is typically restricted to few covariates, because the presence of many predictors yields unstable estimates.
Groll, Andreas
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Genetics Selection Evolution, 2005 We propose a general Bayesian approach to heteroskedastic error modeling for generalized linear mixed models (GLMM) in which linked functions of conditional means and residual variances are specified as separate linear combinations of fixed and random ...
Kizilkaya Kadir, Tempelman Robert J
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The geometry of the lactation curve based on Wood's equation: a two-step prediction
Revista Brasileira de Zootecnia, 2020 Lactation records from cows of the southwestern Paraná state, Brazil, form the dataset of this study. We applied the information-theoretic approach to evaluate the ability of the nonlinear Wood, Brody, Dijkstra, and Gamma functions to fit to these data ...
Jhone Gleison de Oliveira +6 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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Frontiers in Psychology, 2018 As statistical approaches are getting increasingly used in linguistics, attention must be paid to the choice of methods and algorithms used. This is especially true since they require assumptions to be satisfied to provide valid results, and because ...
Christophe Coupé
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Conditional Model Selection in Mixed-Effects Models with cAIC4
Journal of Statistical Software, 2021 Model selection in mixed models based on the conditional distribution is appropriate for many practical applications and has been a focus of recent statistical research.
Benjamin Säfken +3 more
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Rangifer, 2012 Resource selection functions (RSF) are often developed using satellite (ARGOS) or Global Positioning System (GPS) telemetry datasets, which provide a large amount of highly correlated data.
Nicola Koper, Micheline Manseau
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Generalized linear models [PDF]
, 1972 The technique of iterative weighted linear regression can be used to obtain maximum likelihood estimates of the parameters with observations distributed according to some exponential family and systematic effects that can be made linear by a suitable ...
Nelder, J. A., Wedderburn, R. W. M.
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Scale and Sensitivity of Songbird Occurrence to Landscape Structure in a Harvested Boreal Forest
Avian Conservation and Ecology, 2005 To explore the spatial scales at which boreal forest birds respond to landscape structure and how those responses are influenced by forest harvest, we quantified the relationship between amounts of forest in the landscape at multiple spatial scales and ...
Philip D. Taylor, Meg A. Krawchuk
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