Results 21 to 30 of about 2,479,210 (291)
Knowledge Discovery and Recommendation With Linear Mixed Model
IEEE Access, 2020 We give a concise tutorial on knowledge discovery with linear mixed model in movie recommendation. The versatility of mixed effects model is well explained.
Zhiyi Chen +3 more
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Gradient boosting for linear mixed models [PDF]
The International Journal of Biostatistics, 2021 Abstract Gradient boosting from the field of statistical learning is widely known as a powerful framework for estimation and selection of predictor effects in various regression models by adapting concepts from classification theory.
Griesbach, Colin +2 more
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Monitoring of Linear Profiles Using Linear Mixed Model in the Presence of Measurement Errors
Mathematics, 2022 In the application of control charts, most of the research in profile monitoring is based on accurate measurements. Measurement errors, however, often exist in many manufacturing and service environments.
Wenhui Liu, Zhonghua Li, Zhaojun Wang
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Journal of Forest Science, 2015 Models of height curves generated using a linear mixed effects model and generalized model were compared. Both tested models were also compared with local models of height curves, which were fitted using a nonlinear regression.
Z. Adamec
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Subset Selection for Linear Mixed Models
Biometrics, 2022 AbstractLinear mixed models (LMMs) are instrumental for regression analysis with structured dependence, such as grouped, clustered, or multilevel data. However, selection among the covariates—while accounting for this structured dependence—remains a challenge. We introduce a Bayesian decision analysis for subset selection with LMMs. Using a Mahalanobis
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A Bilevel Mixed-Integer Linear Programming Model for Emissions Reduction
Chemical Engineering Transactions, 2022 Government-industry interactions for emissions control can be modelled as Stackelberg or leader-follower games. Government acts as the leader by setting regulations and economic incentives, while industry as the follower reacts to these policies by ...
Raymond R. Tan, Kathleen B. Aviso
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Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data [PDF]
, 2015 We propose an estimation approach to analyse correlated functional data which are observed on unequal grids or even sparsely. The model we use is a functional linear mixed model, a functional analogue of the linear mixed model.
Cederbaum, Jona +3 more
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Small Area Estimation Using a Spatio-Temporal Linear Mixed Model
Revstat Statistical Journal, 2012 In this paper it is proposed a spatio-temporal area level linear mixed model involving spatially correlated and temporally autocorrelated random effects.
Luís N. Pereira , Pedro S. Coelho
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Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model
Journal of Imaging, 2020 Much recent research focuses on how to make disease detection more accurate as well as “slimmer”, i.e., allowing analysis with smaller datasets. Explanatory models are a hot research topic because they explain how the data are generated.
Wenyue Zhu +5 more
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Modelling of intensive care unit (ICU) length of stay as a quality measure: a problematic exercise
BMC Medical Research Methodology, 2023 Background Intensive care unit (ICU) length of stay (LOS) and the risk adjusted equivalent (RALOS) have been used as quality metrics. The latter measures entail either ratio or difference formulations or ICU random effects (RE), which have not been ...
John L. Moran +4 more
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