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Generalized linear mixed models

LOS MODELOS LINEALES GENERALIZADOS MIXTOS. SU APLICACIÓN EN EL MEJORAMIENTO DE PLANTAS

LOS MODELOS LINEALES GENERALIZADOS MIXTOS. SU APLICACIÓN EN EL MEJORAMIENTO DE PLANTAS

... (GLMMs, Generalized Linear Mixed Models) proporcionan una vía de análisis para aquellos datos que se encuentran correlacionados y no requiere necesariamente que la variable evaluada se ...

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Diversidade de insetos galhadores associados com um arbusto tropical: efeitos da concentração do recurso e das interações interespecíficas

Diversidade de insetos galhadores associados com um arbusto tropical: efeitos da concentração do recurso e das interações interespecíficas

... with generalized linear mixed models, the effects of the number of conspecific neighbors on the richness and abundance of galls associated with 67 ...null models to evaluate whether a ...

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TítuloPoisson mixed models: applications to small area data

TítuloPoisson mixed models: applications to small area data

... Generalized linear mixed models are a useful tools for modelling response variables whose distributions belong to the exponential ...Poisson mixed models. The rst two ...

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Data analysis based on SISSREM: Shiny Interactive, Supervised and Systematic report from REpeated Measures data

Data analysis based on SISSREM: Shiny Interactive, Supervised and Systematic report from REpeated Measures data

... A linear mixed model (LMM), also known as mixed-effect models, is a parametric linear model for clustered ...and generalized LMMs [11, 12] (in which the dependent variable may be ...

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TítuloEmpirical best prediction under area level Poisson mixed models

TítuloEmpirical best prediction under area level Poisson mixed models

... Poisson mixed models to estimate small area counting ...fitting generalized linear models, the method of moments (MM) and the penalized quasi-likelihood (PQL) method are ...

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The metric structure of linear codes

The metric structure of linear codes

... a linear code, also it endows linear codes with a metric space ...for generalized toric codes and a characteristic decomposition was obtained, which led to several applications as the construction of ...

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Collision Avoidance in the ATM Problem: A Mixed Integer Linear Optimization Approach

Collision Avoidance in the ATM Problem: A Mixed Integer Linear Optimization Approach

... The main contribution of this paper is based on the VC (Velocity Changes) model proposed by Pallottino [6] and Pallottino, Feron and Bicchi (2002) [7]. See also [8]. This model considers instantaneous changes. The main ...

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Mixed Oligopoly: analysis of oligopoly models considering social welfare

Mixed Oligopoly: analysis of oligopoly models considering social welfare

... Recently, some authors have analyzed oligopoly models considering not only the profits of private firms, but also the domestic social surplus of a domestic firm which is competing in the[r] ...

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Comparison of abundance index of the Southern blue whiting (Micromesistius australis) from two sources of information by applying mixed linear models

Comparison of abundance index of the Southern blue whiting (Micromesistius australis) from two sources of information by applying mixed linear models

... Se aplicaron modelos lineales mixtos MLM, a partir de la información de la estadística pesquera MLMEST y la colectada por los observadores a bordo MLMOBS de los buques que componen dicha[r] ...

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Dissimilarity Based Linear Models for Corporate Bankruptcy Prediction

Dissimilarity Based Linear Models for Corporate Bankruptcy Prediction

... In brief, bankruptcy refers to financial failure of a corporate or an individual, which not only leads to significant costs to shareholders and creditors but also may result in a considerable macroeconomic impact ...

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TítuloA generalized linear model for cardiovascular complications prediction in PD patients

TítuloA generalized linear model for cardiovascular complications prediction in PD patients

... We repeated this process 10 times, using each one of the partitions exactly once as the validation set. In each iteration, the corresponding training set is used in an inner loop, to find the optimal values of the ...

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Explanatory Study of Mathematical Models for Realistic Soft Tissue Simulations

Explanatory Study of Mathematical Models for Realistic Soft Tissue Simulations

... mathematical models that are suitable for realistic soft tissue sim- ...mathematical models, found in the literature, are ...the models, and the type of classifications to be ...

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Identification of the variables that affect the spawning fraction of Argentine anchovy (Engraulis anchoita) Northern stock using generalized linear models

Identification of the variables that affect the spawning fraction of Argentine anchovy (Engraulis anchoita) Northern stock using generalized linear models

... using generalized linear ...using generalized linear ...the models analyzed did not allow to clearly detect the variables that could affect ...

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Value added in hierarchical linear mixed model with error in variables

Value added in hierarchical linear mixed model with error in variables

... Another interesting work regarding estimation in the errors in variables models is described in Cui et.al (2004) [8]. In this paper, the authors assume a linear mixed effects model with measurement ...

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TítuloPrediction of forest fires occurrences with area level Poisson mixed models

TítuloPrediction of forest fires occurrences with area level Poisson mixed models

... scientific models to explain the causality of fire and to establishing future scenarios of fire risk conditions, especially in one of the worst hit regions of the world, Mediterranean Europe (Rodrigues and de la ...

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Conflict Avoidance: 0-1 linear models for Conflict Detection & Resolution

Conflict Avoidance: 0-1 linear models for Conflict Detection & Resolution

... Based on our computational experience reported in Section 5, we can point out that our first model is tighter than the second one (and, then, it requires smaller computational effort), so, it allows to consider wider ...

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Forecasting the spot prices of various coffee types using linear and non-linear error correction models

Forecasting the spot prices of various coffee types using linear and non-linear error correction models

... different models that will be used for forecasting analysis in the next section, that is, a random walk model ...the linear, asymmetric and non-linear models of Table ...asymmetric ...

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Modelos cognitivo conductuales del Trastorno de Ansiedad GeneralizadaCognitive behavioral models of Generalized Anxiety Disorder

Modelos cognitivo conductuales del Trastorno de Ansiedad GeneralizadaCognitive behavioral models of Generalized Anxiety Disorder

... behavioral models are presented for their understanding and thera- peutic approach: worry as avoidance model, emotion dysregulation model, acceptan- ce-based behavioral therapy, intolerance of uncertainty’s model, ...

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TítuloLow cost a posteriori error estimators for an augmented mixed FEM in linear elasticity

TítuloLow cost a posteriori error estimators for an augmented mixed FEM in linear elasticity

... usual mixed finite element method in linear elasticity (see [5, 8, 17, 9, 15, ...and mixed boundary conditions with non-homogeneous Neumann data; ...

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