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Future work will extend the model to include both types of pathways in a single model and generalize the forward stepwise approach to the addition of small clusters of positively and negatively correlated genes.
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If a 0 = − ∞ and a m = ∞, then HTM { − ∞, …, ∞, p I } and HTM { − ∞, ∞, p I } are called generalized hierarchical teaching model and generalized traditional teaching model, respectively.
If (a_{0}=-infty), (a_{m}=infty), then the (operatorname{HTM} { {{-infty}, ldots, {infty},p_{mathbb{R}}} }) and the (operatorname{HTM} { {{-infty},{infty},{p_{mathbb{R}}}} }) are called generalized hierarchical teaching model and generalized traditional teaching model, respectively, where, and in the future, (mathbb{R}triangleq (-infty,infty )).
The probable applications of recent advanced tools of linear and non-linear mixed models like the linear mixed model, generalized linear model, and generalized linear mixed models have been presented.
The calculations are based on the tight-binding model and generalized Green's function method within the phase coherent transport regime.
This paper presents the predictions of the effective thermal conductivity of PCM-concrete using different composite models, such as the parallel, the series models, Maxwell model and Generalized Self-Consistent (GSC) model.
Differently from the present work, which begins its study from a particular ODE model and generalizes this one to a CA model introducing spatial and local effects, the paper cited, starts by defining an original CA model, compares it with the corresponding ODE model with effects of contagion and shows the advantages of the cooperation to fight tax evasion.
Several mutational models have been developed for microsatellites [59]: the Infinite Allele Model, Stepwise Mutation Model, Two phase model and Generalized stepwise model, and the K-allele model [60].
Previous studies also have used other methods to identify climate-related risk factors of HFRS, such as Bayesian discriminant analysis [ 17], structure equation model [ 20], generalized linear model, and generalized additive model [ 21].
Further analyses revealed an increase in spring temperature (β = 0.183 ± 0.017, t = 11.09, P < 0.001; Fig. 2B) and a decrease in breeder density (β = −0.093 ± 0.014, z = 6.83, P < 0.001; Fig. 2C) over the same period (linear mixed model and generalized linear mixed model (logit link and binomial error) were used, respectively, with farm identity included as a random effect).
This article shows how to apply generalized additive models and generalized additive mixed models to single-case design data.
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