Creating mixed model value streams :practical lean techniques for building to demand[electronics resource] / by 438071 Duggan, Kevin J.

Recent trend in mixed-model assembly line balancing optimization using soft computing approaches by Razali, Muhamad Magffierah, Kamarudin, N.H., M. F. F., Ab Rashid, Ahmad Nasser, Mohd Rose

“…Purpose - This paper aims to review and discuss four aspects of mixed-model assembly line balancing (MMALB) problem mainly on the optimization angle. …”
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Assessment of metaheuristic algorithms to optimize of mixed-model assembly line balancing problem with resource constraints by M.M., Razali, M. F. F., Ab Rashid, M. R. A., Make

“…Mixed-model assembly line balancing problem (MMALBP) is an NP-hard problem whichrequires an effective algorithm for solution. …”
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Regional Differences in Various Risk Factors for Postpartum Depression: Applying Mixed Models to the PRAMS Dataset by Janace J. Gifford, Jenna R. Pluchino, Rebecca Della Valle, Jaclyn M. Schwarz

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Prediction of road dust concentration in open-pit coal mines based on multivariate mixed model by Meng Wang, Zongwei Yang, Caiwang Tai, Fan Zhang, Qiaofeng Zhang, Kejun Shen, Chengbin Guo

“…The results show that the CNN-BiLSTM-Attention multivariate mixed model proposed in this paper has the best prediction performance. …”
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A STUDY OF GENERALIZED LINEAR MIXED MODEL FOR COUNT DATA USING HIERARCHICAL BAYES METHOD by Etis Sunandi, Khairil Anwar Notodiputro, Bagus Sartono

“…Poisson Log-Normal Model is one of the hierarchical mixed models that can be used for count data. Several estimation methods can be used to estimate the model parameters. …”
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A mixed-model approach for estimating drivers of microbiota community composition and differential taxonomic abundance by Amy R. Sweeny, Hannah Lemon, Anan Ibrahim, Kathryn A. Watt, Kenneth Wilson, Dylan Z. Childs, Daniel H. Nussey, Andrew Free, Luke McNally

“…ABSTRACT Next-generation sequencing (NGS) and metabarcoding approaches are increasingly applied to wild animal populations, but there is a disconnect between the widely applied generalized linear mixed model (GLMM) approaches commonly used to study phenotypic variation and the statistical toolkit from community ecology typically applied to metabarcoding data. …”
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Linear and Nonlinear Mixed Models to Determine the Growth Curves of Weaned Piglets and the Effect of Sex on Growth by Roberto Besteiro, Tamara Arango, Manuel R. Rodríguez, María D. Fernández

“…Over the study period, the variable, sex, did not show a significant effect (<i>p</i> < 0.05) on piglet growth. The nonlinear mixed models performed better than the linear mixed models, with the Gompertz (RMSE = 0.296) and Von-Bertalanffy (RMSE = 0.288) curves as the best-performing models. …”
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Bayesian inference for generalized linear mixed model based on the multivariate t distribution in population pharmacokinetic study. by Fang-Rong Yan, Yuan Huang, Jun-Lin Liu, Tao Lu, Jin-Guan Lin

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Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships by Luiz Paulo Fávero, Joseph F. Hair, Rafael de Freitas Souza, Matheus Albergaria, Talles V. Brugni

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Changes in the length of speeches in the plays of William Shakespeare and his contemporaries: A mixed models approach. by Kim Colyvas, Gabriel Egan, Hugh Craig

“…In this article we take account of several potentially confounding factors in the variation of speech lengths in these works and present a model of this variation in the period 1538-1642 through Linear Mixed Models. We confirm that the mode of speech lengths in English plays changed from nine words to four words around 1600, and that Shakespeare's plays fit this wider pattern closely. …”
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NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis by Xinyan Zhang, Nengjun Yi

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Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models. by Efehan Ulas

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Multi-objective optimization algorithms for mixed model assembly line balancing problem with parallel workstations by Masoud Rabbani, Reyhaneh Siadatian, Hamed Farrokhi-Asl, Neda Manavizadeh

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Factors associated with coverage of vitamin a supplementation among Bangladeshi children: mixed modelling approach by Nahyatul Marjan, Atikur Rahman, Rumana Rois, Azizur Rahman

“…Methods Data were analysed using mixed logistic regression (MLR) modelling approach in the generalised linear mixed model framework. The MLR model performs better than logistic regression for analysing the clustered data because of its minimum Akaike information criterion value. …”
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Correction: Strontium Isotopes and the Reconstruction of the Chaco Regional System: Evaluating Uncertainty with Bayesian Mixing Models.

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A constraint programming model for mixed model type 2 assembly line balancing problem by Hacı Mehmet Alağaş, Mehmet Pınarbaşı, Mustafa Yüzükırmızı, Bilal Toklu

“…<span>This paper presents a new constraint programming model for mixed-model assembly line balancing problem. The proposed model minimizes the cycle time for a given number of stations. …”
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Searching for the true diet of marine predators: incorporating Bayesian priors into stable isotope mixing models. by André Chiaradia, Manuela G Forero, Julie C McInnes, Francisco Ramírez

“…In contrast, combined posterior isotope mixing model with DNA Bayesian priors provided the closest match to the true diet. …”
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Correction: Estimating the Diets of Animals Using Stable Isotopes and a Comprehensive Bayesian Mixing Model. by John B. Hopkins, Jake M. Ferguson

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Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling by Maryam Onifade, Marie-Hélène Roy-Gagnon, Marie-Élise Parent, Kelly M. Burkett

Subjects: “…Generalized linear mixed models…”
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