A unified linear mixed model for familial relatedness and population structure in genetic association studies
Sign Up to like & getrecommendations! Published in 2020 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22371
Abstract: Familial relatedness (FR) and population structure (PS) are two major sources for genetic correlation. In the human population, both FR and PS can further break down into additive and dominant components to account for potential… read more here.
Keywords: unified linear; familial relatedness; mixed model; population ... See more keywords
Mixed model identification for linear time‐invariant systems with mixed noises in frequency domain
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.5837
Abstract: In this paper, we present a new method for frequency domain identification of discrete linear time‐invariant systems. We take consideration of the case where the output noises are mixed or unknown. In order to deal… read more here.
Keywords: linear time; mixed model; invariant systems; frequency domain ... See more keywords
The mixed model for the analysis of a repeated‐measurement multivariate count data
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in Medicine"
DOI: 10.1002/sim.8101
Abstract: Clustered overdispersed multivariate count data are challenging to model due to the presence of correlation within and between samples. Typically, the first source of correlation needs to be addressed but its quantification is of less… read more here.
Keywords: model; multivariate count; count data; mixed model ... See more keywords
Proportional likelihood ratio mixed model for discrete longitudinal data.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.8902
Abstract: Rathouz and Gao [2] and Luo and Tsai [3] proposed valuable extensions to the generalized linear model for modeling a nonlinear monotonic relationship between the mean response and a set of covariates. In their extensions… read more here.
Keywords: longitudinal data; likelihood; likelihood ratio; model ... See more keywords
Some properties of linear sufficiency and the BLUPs in the linear mixed model
Sign Up to like & getrecommendations! Published in 2020 at "Statistical Papers"
DOI: 10.1007/s00362-017-0943-3
Abstract: In this paper we consider the linear sufficiency of $$\mathbf {F}\mathbf {y}$$ F y for $$\mathbf {X}\varvec{\beta }$$ X β , for $$\mathbf {Z}\mathbf {u}$$ Z u and for $$\mathbf {X}\varvec{\beta }+ \mathbf {Z}\mathbf {u}$$… read more here.
Keywords: linear sufficiency; mathbf mathbf; mixed model; mathbf ... See more keywords
A versatile generalized simulated annealing using type-2 fuzzy controller for the mixed-model assembly line balancing problem
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.11.633
Abstract: Abstract The current manufacturing industry trends are characterized by a growing level of product customization in order to meet the consumer’s expectations. In this context, the set of Mixed-model assembly lines (MMALP) appears a suited… read more here.
Keywords: mixed model; generalized simulated; using type; assembly line ... See more keywords
Privacy preserving collaborative learning of generalized linear mixed model
Sign Up to like & getrecommendations! Published in 2022 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2022.104008
Abstract: Generalized Linear Mixed Model is one of the most pervasive class of statistical models. It is widely used in the medical domain. Training such models in a collaborative setting often entails privacy risks. Standard privacy… read more here.
Keywords: generalized linear; mixed model; privacy; model ... See more keywords
Car sequencing for mixed-model assembly lines with consideration of changeover complexity
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2017.11.009
Abstract: Abstract Implementing mass customization can inevitably lead to a large product variety, which makes the assembly process in mixed-model assembly lines (MMALs) very complex. In this paper, the concept of product variety induced changeover complexity,… read more here.
Keywords: mixed model; model; changeover complexity; model assembly ... See more keywords
A compressed variance component mixed model for detecting QTNs, and QTN-by-environment and QTN-by-QTN interactions in genome-wide association studies.
Sign Up to like & getrecommendations! Published in 2022 at "Molecular plant"
DOI: 10.1016/j.molp.2022.02.012
Abstract: Although genome-wide association studies are widely used in mining genes for quantitative traits, effects to be estimated are confounded and methodologies of detecting interactions are imperfect. To address these issues, first, the mixed model proposed… read more here.
Keywords: variance; mixed model; environment; model ... See more keywords
Semantic concept schema of the linear mixed model of experimental observations
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Data"
DOI: 10.1038/s41597-020-0409-7
Abstract: In the information age, smart data modelling and data management can be carried out to address the wealth of data produced in scientific experiments. In this paper, we propose a semantic model for the statistical… read more here.
Keywords: schema linear; model; mixed model; concept schema ... See more keywords
A neural-network-based mixed model of the subgrid-scale stress for large-eddy simulation of forced isotropic turbulence
Sign Up to like & getrecommendations! Published in 2025 at "Physics of Fluids"
DOI: 10.1063/5.0247013
Abstract: An artificial neural network (ANN) is employed to develop an accurate subgrid-scale (SGS) stress model for large-eddy simulation (LES) of forced homogeneous isotropic turbulence. The input variables considered include the filtered strain-rate tensor, the modified… read more here.
Keywords: stress; model; isotropic turbulence; mixed model ... See more keywords