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Pattern recognition utilized the generalized linear model, maximum likelihood fitting, for Poisson distributed uncertainties.
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This is featured when applying the dynamic generalized linear models (DGLMs) [ 13], a generalization of the generalized linear models (GLMs) introduced by Nelder and Wedderburn, 1972 [ 14].
Moreover, Sparse Generalized PLS extends Sparse PLS to the generalized linear model framework.
With the generalized linear models, edgeR and DESeq use the asymptotic likelihood ratio or Wald tests.
Fig. 2 Block diagram of the generalized linear system.
The non-linear chopped model and the generalized linear model 4 appear to be equivalent.
The analysis of variance was carried out using the generalized linear model (GLM) procedure in SAS.
GJB built the generalized linear mixed models.
§RSPL from the generalized linear mixed models.
The analysis was based on the generalized linear model approach.
MRH dealt with the conducted the generalized linear model test.
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