Showing 1 - 20 results of 10,608 for search '"Mixed model"', query time: 0.91s Refine Results
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    Smoothing with Mixed Model Software by Long Ngo, Matthew P. Wand

    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 by Matheus Henrique Dal Molin Ribeiro, Humberto Milani, Isolde Previdelli

    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 by Mercedes Andrade-Bejarano, Nicholas T. Longford

    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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    Diagnosing underdetermination in stable isotope mixing models. by Yutaka Osada, Jun Matsubayashi, Ichiro Tayasu

    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 by Jing Hua Zhao, Jian'an Luan, Peter Congdon

    Published 2018-06-01
    Subjects: “…Bayesian linear mixed models…”
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    CNN and RNN mixed model for image classification by Yin Qiwei, Zhang Ruixun, Shao XiuLi

    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 by Zhiyi Chen, Shengxin Zhu, Qiang Niu, Tianyu Zuo

    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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