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Smoothing with Mixed Model Software
Published 2004-01-01“…Smoothing methods that use basis functions with penalization can be formulated as fits in a mixed model framework. One of the major benefits is that software for mixed model analysis can be used for smoothing. …”
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<b>Mixed models in cerebral ischemia study
Published 2016-06-01“…In the present study, a Gaussian mixed model was adopted for the variable response latency of an experiment investigating the memory deficits in animals subjected to cerebral ischemia when treated with fish oil (FO). …”
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Outliers in Mixed Models for Monthly Average Temperatures
Published 2016-02-01“…Long-term series of monthly average temperatures taken at 28 sites in Valle del Cauca, Colombia, are studied. Mixed models are applied to cater for the within- and between-site variation. …”
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Mixed Models Analysis of Radar Residuals Data
Published 2013-01-01Subjects: “…Mixed models…”
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Diagnosing underdetermination in stable isotope mixing models.
Published 2021-01-01“…Stable isotope mixing models (SIMMs) provide a powerful methodology for quantifying relative contributions of several sources to a mixture. …”
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Bayesian Linear Mixed Models with Polygenic Effects
Published 2018-06-01Subjects: “…Bayesian linear mixed models…”
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Multiphase Dielectric Mixing Model for Concrete Mixtures
Published 2023-01-01Subjects: Get full text
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CNN and RNN mixed model for image classification
Published 2019-01-01“…In this paper, we propose a CNN(Convolutional neural networks) and RNN(recurrent neural networks) mixed model for image classification, the proposed network, called CNN-RNN model. …”
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Knowledge Discovery and Recommendation With Linear Mixed Model
Published 2020-01-01“…We give a concise tutorial on knowledge discovery with linear mixed model in movie recommendation. The versatility of mixed effects model is well explained. …”
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Insensitivity Regions and Outliers in Mixed Models with Constraints
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