Towards robust, fast solutions of elliptic equations on complex domains through hybrid high‐order discretizations and non‐nested multigrid methods
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DOI: 10.1002/nme.6803
Abstract: The use of modern discretization technologies such as Hybrid High-Order (HHO) methods, coupled with appropriate linear solvers, allow for the robust and fast solution of Partial Differential Equations (PDEs). Although efficient linear solvers have recently… read more here.
Keywords: hybrid high; non nested; towards robust; high order ... See more keywords
Model Selection of Nested and Non-Nested Item Response Models Using Vuong Tests
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DOI: 10.1080/00273171.2019.1664280
Abstract: Abstract In this paper, we apply Vuong’s general approach of model selection to the comparison of nested and non-nested unidimensional and multidimensional item response theory (IRT) models. Vuong’s approach of model selection is useful because… read more here.
Keywords: non nested; model selection; nested non; response ... See more keywords
A test of separate hypotheses for comparing linear mixed models with non nested fixed effects
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DOI: 10.1080/03610926.2015.1104352
Abstract: ABSTRACT As researchers increasingly rely on linear mixed models to characterize longitudinal data, there is a need for improved techniques for selecting among this class of models which requires specification of both fixed and random… read more here.
Keywords: separate hypotheses; hypotheses comparing; non nested; mixed models ... See more keywords
Non parametric multiple comparisons of non nested rival models
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DOI: 10.1080/03610926.2016.1179759
Abstract: ABSTRACT The practice for testing homogeneity of several rival models is of interest. In this article, we consider a non parametric multiple test for non nested distributions in the context of the model selection. Based… read more here.
Keywords: rival models; nested rival; non nested; parametric multiple ... See more keywords
Applying Non-Nested Generalized Exemplars Classification for Cyber-Power Event and Intrusion Detection
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DOI: 10.1109/tsg.2016.2642787
Abstract: Non-nested generalized exemplars (NNGEs) is a state of the art data mining algorithm which uses distance between a new example and a set of exemplars for classification. The state extraction method (STEM) preprocesses power system… read more here.
Keywords: classification; nested generalized; non nested; power ... See more keywords