A REVIEW ON SEQUENCING APPROACHES FOR MIXED-MODEL JUST-IN-TIME PRODUCTION SYSTEM by Tanka Dhamala, Shree Khadka

Subjects: “…Mixed-model…”
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Multi-Objective Optimization on a Sequencing Planning of Mixed-Model Assembly Line by Yoshiaki SHIMIZU, Toshiya WAKI, Jae-Kyu. YOO

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Estimation of realized heritability in a selected population using mixed model methods by Thompson R

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Correcting for population structure and kinship using the linear mixed model: theory and extensions. by Gabriel E Hoffman

“…More recently, the linear mixed model (LMM) has emerged as a powerful method for simultaneously accounting for population structure and kinship. …”
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Estimation in a multiplicative mixed model involving a genetic relationship matrix by Eccleston John A, Gilmour Arthur R, Cullis Brian R, Kelly Alison M, Thompson Robin

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A comparison of nonlinear mixed models and response to selection of tick-infestation on lambs. by Panya Sae-Lim, Lise Grøva, Ingrid Olesen, Luis Varona

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Merging resource availability with isotope mixing models: the role of neutral interaction assumptions. by Justin D Yeakel, Mark Novak, Paulo R Guimarães, Nathaniel J Dominy, Paul L Koch, Eric J Ward, Jonathan W Moore, Brice X Semmens

“…Bayesian mixing models have allowed for the inclusion of uncertainty and prior information in the analysis of trophic interactions using stable isotopes. …”
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Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure by SANDRA S. FERREIRA, DÁRIO FERREIRA, CÉLIA NUNES, JOÃO T. MEXIA

“…Our motivation for this research relies on the fact that we want an answer to that question and to explore this important class of models that can contribute to the development of mixed models. That is possible using the algebraic structure of mixed models. …”
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RESEARCH ON THE BREEDING VALUE ESTIMATION FOR BEEF TRAITS BY A SIMPLIFIED MIXED MODEL by Agatha POPESCU

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Multi-Locus Mixed Model Analysis Of Stem Rust Resistance In Winter Wheat by Paul D. Mihalyov, Virginia A. Nichols, Peter Bulli, Matthew N. Rouse, Michael O. Pumphrey

“…After evaluating several commonly used linear models, a multi-locus mixed model provided the maximum statistical power and improved the identification of loci with direct breeding application. …”
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partR2: partitioning R2 in generalized linear mixed models by Martin A. Stoffel, Shinichi Nakagawa, Holger Schielzeth

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Nonlinear mixed model approaches to estimating merchantable bole volume for Pinus occidentalis by Bueno-López SW, Bevilacqua E

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A mixing model incorporating three sources of data for operational risk quantification by Jim Gustafsson

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On Energy Consumption and Productivity in a Mixed-Model Assembly Line Sequencing Problem by Iwona Paprocka, Damian Krenczyk

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nlive: an R package to facilitate the application of the sigmoidal and random changepoint mixed models by Ana W. Capuano, Maude Wagner

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Breeding new sugarcane clones by mixed models under genotype by environmental interaction by Gustavo Menezes Gonçalves, Alexandre Pio Viana, Antônio Teixeira do Amaral Junior, Marcos Deon Vilela de Resende

“…Twentyfour new clones were evaluated in different locations as potential models for recommendation as new varieties. The mixed model methodology, using the harmonic mean of the relative performance of genetic values (MHPRVG), facilitated the analysis of genotypic stability and adaptability, culminating in the recommendation of clones for each location. …”
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Are the anomalous vertebral arteries more hypoplastic?: retrospective linear mixed model approach by Chulho Kim, Jong-Hee Sohn, Hui-Chul Choi

“…A V1 anomaly was defined as the abnormal origin of the VA on a three-dimensional MR angiography and a V2 anomaly was defined as the VA not passing through the 6th cervical transverse foramen (TF) on an axial CT image. A linear mixed model was used to evaluate the determinants of VA size. …”
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A power approximation for the Kenward and Roger Wald test in the linear mixed model. by Sarah M Kreidler, Brandy M Ringham, Keith E Muller, Deborah H Glueck

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Data Splitting Method of Distance Metric Learning Based on Gaussian Mixed Model by ZHENG Dezhong, YANG Yuanyuan, XIE Zhe, NI Yangfan, LI Wentao

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Non-linear mixed models in the analysis of mediated longitudinal data with binary outcomes by Blood Emily A, Cheng Debbie M

“…However when interest is in the total effect (i.e. direct plus indirect) of a predictor on the binary outcome, alternative statistical techniques such as non-linear mixed models (NLMM) may be preferable, particularly if specific causal pathways are not hypothesized or specialized SEM software is not readily available. …”
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