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Published in 2017 at "Finite Elements in Analysis and Design"
DOI: 10.1016/j.finel.2017.04.004
Abstract: Abstract Feulvarch et al. [5] defined an extended class of nonlinear models of diffusion/reaction in solids, applicable to both problems of diffusion of heat with phase change, and problems of diffusion of chemical elements with…
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Keywords:
nonlinear models;
diffusion;
implementation;
diffusion reaction ... See more keywords
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Published in 2021 at "Journal of equine veterinary science"
DOI: 10.1016/j.jevs.2021.103422
Abstract: This study aimed to describe the testicular growth curve in Mangalarga Marchador stallions fitting nonlinear models to data of total scrotal width (TSW) and testicular volume (TV). A cross-sectional study was conducted with 120 stallions,…
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Keywords:
growth;
nonlinear models;
growth curve;
tsw ... See more keywords
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Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2018.04.031
Abstract: Abstract Hydraulic bushings exhibit significant amplitude dependent behavior which cannot be captured with the linear time-invariant system theory. Accordingly, Fredette et al. (2016) have proposed a nonlinear model, but the amplitude sensitivity has not been…
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Keywords:
nonlinear models;
fractionally damped;
compliance;
damped compliance ... See more keywords
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Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1440311
Abstract: ABSTRACT Quasi-likelihood nonlinear models with random effects (QLNMWRE) include generalized linear models with random effects and quasi-likelihood nonlinear models as special cases. In this paper, some regularity conditions analogous to those given by Breslow and…
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Keywords:
nonlinear models;
models random;
likelihood nonlinear;
random effects ... See more keywords
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Published in 2018 at "Econometric Reviews"
DOI: 10.1080/07474938.2014.999499
Abstract: ABSTRACT It is quite common to observe heteroskedasticity in real data, in particular, cross-sectional or micro data. Previous studies concentrate on improving the finite-sample properties of tests under heteroskedasticity of unknown forms in linear models.…
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Keywords:
nonlinear models;
sample refinement;
heteroskedasticity unknown;
finite sample ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3204408
Abstract: Multi-direction iterative (MUL-DI) algorithm is an efficient algorithm for large-scale models, and it establishes a theoretical linkage between least squares (LS) and gradient descent (GD) algorithms. However, it involves Givens transformation and dense matrix calculation…
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Keywords:
models missing;
direction iterative;
algorithm;
separable nonlinear ... See more keywords
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Published in 2021 at "Shock and Vibration"
DOI: 10.1155/2021/5558284
Abstract: The paper focuses on the failure process and mechanism of the concrete gravity dam considering different nonlinear models under strong earthquakes. By taking a typical monolith of a concrete gravity dam as a case study,…
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Keywords:
failure;
mechanism concrete;
nonlinear models;
concrete gravity ... See more keywords
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Published in 2017 at "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering"
DOI: 10.1177/0954410016650907
Abstract: In this paper, a new approach based on block-oriented nonlinear models for the modeling and identification of aircraft nonlinear dynamics is proposed. Some of the block-oriented nonlinear models are regarded as flexible structures, which are…
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Keywords:
aircraft;
nonlinear models;
oriented nonlinear;
output ... See more keywords
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Published in 2017 at "Statistical Modelling"
DOI: 10.1177/1471082x17706018
Abstract: Modelling the concentration of a drug in the bloodstream over time is usually done using compartment models. In pharmacokinetic data, they turn into highly nonlinear mixed-effects models (NLMEMs) when we take the heterogeneity between subjects…
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Keywords:
bioequivalence;
models bioequivalence;
nonlinear models;
bioequivalence problems ... See more keywords