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J.M. Neuhaus and N. P. Jewell, "Some comments on Rosner's multiple logistic model for clustered data," Biometrics, 46, 1990, 523-531.
In[11], an energy model for clustered multi-hop WSNs is derived and optimized with respect to the cluster-head selection process, hereby using a probabilistic method.
The preliminaries and network model are stated in Section 3. The proposed secure clustering scheme is presented in Section 4. Section 5 shows an analysis on node degree in the proposed network model for clustered WSNs.
In this article, by properly deriving the number of hops between end-to-end nodes, we have derived an accurate energy model for clustered multi-hop WSNs using a probabilistic cluster-head selection method.
Bottom panel illustrates the model for clustered p-Nephrin, upon Nck and N-WASP binding.
The next section describes the statistical multistate frailty model for clustered data with estimation procedure.
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A Dirichlet process mixture model for clustering longitudinal gene expression data.
In this paper, we present the applicability of variable precision rough set model for clustering student suffering studies anxiety.
The third challenge regards how to design a suitable model for clustering Arabic text that is capable of improving clustering performance.
The mixture part of MFA is based on the GMM, a model for clustering real-valued data.
J.M. Neuhaus and N. P. Jewell, "The effect of retrospective sampling on binary regression models for clustered data," Biometrics, 46, 1990, 977-990.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com