The mixed linear model is characterized using the classic linear model of Gauss-Markov. The multipliers of Lagrange are a tool to obtain the best lineal predictors (BLUP), we shown the results of Searle (1997), where some sums of the best linear unbiased
López Luis Alberto +2 more
doaj
Global and local distance-based generalized linear models [PDF]
This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models first to the generalized linear model framework. Then, a nonparametric version of these models is proposed by means of local
Boj, Eva +4 more
core +1 more source
A stochastic variational framework for fitting and diagnosing generalized linear mixed models
In stochastic variational inference, the variational Bayes objective function is optimized using stochastic gradient approximation, where gradients computed on small random subsets of data are used to approximate the true gradient over the whole data set.
Nott, David J., Tan, Linda S. L.
core +1 more source
Sobre la construcción del mejor predictor lineal insesgado (BLUP) y restricciones asociadas
A través del modelo lineal clásico de Gauss-Markov, se caracteriza el modelo de efectos mixtos, se aplica la técnica de multiplicadores de Lagrange para obtener los mejores predictores lineales (BLUP) y se ilustran los resultados de Searle (1997), donde ...
LUIS ALBERTO LÓPEZ +2 more
doaj
Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective)
Traditionally, actuaries have used run-off triangles to estimate reserve (“macro” models, on aggregated data). However, it is possible to model payments related to individual claims. If those models provide similar estimations, we investigate uncertainty
Arthur Charpentier, Mathieu Pigeon
doaj +1 more source
Identification of functional features underlying heat stress response in Sprague-Dawley rats using mixed linear models. [PDF]
Kotlarz K +5 more
europepmc +1 more source
Sensory analysis of Prato cheeses by generalized linear mixed models
Sensory analysis, an area of Food Science, is used to analyze and measure characteristics of foods, being able to evaluate the acceptance of samples. Such assessments can be performed using the 9-point numerical hedonic scale, classified as an ordinal ...
Tatiane Carvalho Alvarenga +1 more
doaj +1 more source
Application of mixed linear models for the estimation of functional effects on bovine stature based on SNP summary statistics from a whole-genome association study. [PDF]
Kotlarz K +4 more
europepmc +1 more source
Congruency of Separable Affix Verb Combinations Is Linearly Indexed by the N400
Separable affix verbs consist of a stem and a derivational affix, which, in some languages can appear together or in discontinuous, distributed form, e.g., German “aufgreifen” and “greifen … auf” [“up-pick(ing)” and “pick … up”].
Jeff Hanna +3 more
doaj +1 more source
Neighborhood-level heterogeneity in childhood morbidity through generalized linear mixed models
ObjectiveChildhood morbidities are crucial for improving long-term public health outcomes. This study aimed to examine the existence of child-specific and regional variation in childhood morbidity based on the cross-cutting study of the Performance ...
Endeshaw A. Derso +8 more
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