Relevant bibliographies by topics / General linear model (GLM)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'General linear model (GLM)'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "General linear model (GLM)"

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Li, Yuanpeng, Wenge Yang, Yile Fan, and Yu Zhang. "Modeling and Analysis of Spike-Train Based on Poisson-GML." Journal of Physics: Conference Series 2173, no. 1 (2022): 012015. http://dx.doi.org/10.1088/1742-6596/2173/1/012015.

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Abstract Mathematical modeling is of great significance to the study of brain function. In this paper, an analysis method based on Poisson’s general linear model is adopted to model the brain impulse sequence. First, the ideas of Hodegkin-Hulex model, STA and Poisson’s general linear model are introduced. Secondly, the implementation of the general linear model is introduced. Finally, Poisson GLM Fit Spike-train is simulated and compared with Linear Gaussian-GLM. The AIC tradeoff estimation model fits well. The superiority of Poisson GLM Fit Spike-Train is demonstrated
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Perpetuini, David, Daniela Cardone, Chiara Filippini, Antonio Chiarelli, and Arcangelo Merla. "Modelling Impulse Response Function of Functional Infrared Imaging for General Linear Model Analysis of Autonomic Activity." Sensors 19, no. 4 (2019): 849. http://dx.doi.org/10.3390/s19040849.

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Functional infrared imaging (fIRI) is a validated procedure to infer autonomic arousal. Currently, fIRI signals are analysed through descriptive metrics, such as average temperature changes in a region of interest (ROI). However, the employment of mathematical models could provide a powerful tool for the accurate identification of autonomic activity and investigation of the mechanisms underlying autonomic arousal. A linear temporal statistical model such as the general linear model (GLM) is particularly suited for its simplicity and direct interpretation. In order to apply the GLM, the thermal
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Gong, Li, and Bo Jiang. "A matrix analysis of BLMBPs under a general linear model and its transformation." AIMS Mathematics 9, no. 1 (2023): 1840–60. http://dx.doi.org/10.3934/math.2024090.

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<abstract><p>This paper is concerned with the relationships between best linear minimum biased predictors (BLMBPs) in the context of a general linear model (GLM) and its transformed general linear models (TGLMs). We shall establish a mathematical procedure by means of some exact and analytical tools in matrix theory that were developed in recent years. The coverage includes constructing a general vector composed of all unknown parameters in the context of a GLM and its TGLMs, deriving the exact expressions of the BLMBPs through the technical use of analytical solutions of a constra
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Rowe, Kenneth J. "The Commensurability of the General Linear Model in the Context of Educational and Psychosocial Research." Australian Journal of Education 33, no. 1 (1989): 41–52. http://dx.doi.org/10.1177/000494418903300104.

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In explanatory research, as opposed to exploratory research, data analysis is meant to shed light on substantive theory. The potential for accomplishing this goal is predicated, among other things, on the use of statistical models that are commensurate with the theoretical model specifications to which they are applied. This paper discusses the commensurability conditions applying to the general linear model (GLM) and examines some of the more serious limitations entailed by the widespread and often uncritical use of the GLM, particularly in exploratory educational and psychosocial ex post fac
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Thompson, Bruce. "The Case for Using the General Linear Model as a Unifying Conceptual Framework for Teaching Statistics and Psychometric Theory." Journal of Methods and Measurement in the Social Sciences 6, no. 2 (2015): 30. http://dx.doi.org/10.2458/jmm.v6i2.18801.

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The present paper argues for teaching statistics and psychometric theory using the GLM as a unifying conceptual framework. This helps students understand what analyses have in common, and also provides a firm grounding for understanding that more general cases of the GLM (canonical correlation analysis and SEM) can be interpreted with the same rubric used throughout the GLM. And this approach also helps students better understand analyses that are not part of the GLM, such as predictive discriminant analysis (PDA). The approach helps students understand that all GLM analyses (a) are correlatio
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Thompson, Bruce. "The Case for Using the General Linear Model as a Unifying Conceptual Framework for Teaching Statistics and Psychometric Theory." Journal of Methods and Measurement in the Social Sciences 6, no. 2 (2015): 30. http://dx.doi.org/10.2458/v6i2.18801.

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The present paper argues for teaching statistics and psychometric theory using the GLM as a unifying conceptual framework. This helps students understand what analyses have in common, and also provides a firm grounding for understanding that more general cases of the GLM (canonical correlation analysis and SEM) can be interpreted with the same rubric used throughout the GLM. And this approach also helps students better understand analyses that are not part of the GLM, such as predictive discriminant analysis (PDA). The approach helps students understand that all GLM analyses (a) are correlatio
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Ohigashi, Kentaro. "An introductory guide to the statistical analysis—from general linear model to the generalized linear model—." Journal of Weed Science and Technology 55, no. 4 (2010): 268–74. http://dx.doi.org/10.3719/weed.55.268.

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Marzjarani, Morteza. "A Comparison of a General Linear Model and the Ratio Estimator." International Journal of Statistics and Probability 9, no. 3 (2020): 54. http://dx.doi.org/10.5539/ijsp.v9n3p54.

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In data analysis, selecting a proper statistical model is a challenging issue. Upon the selection, there are other important factors impacting the results. In this article, two statistical models, a General Linear Model (GLM) and the Ratio Estimator will be compared. Where applicable, some issues such as heteroscedasticity, outliers, etc. and the role they play in data analysis will be studied. For reducing the severity of heteroscedasticity, Weighted Least Square (WLS), Generalized Least Square (GLS), and Feasible Generalized Least Square (FGLS) will be deployed. Also, a revised version of FG
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Alaqeeli, Omar, and Raad Alturki. "Evaluating the Performance of the Generalized Linear Model (glm) R Package Using Single-Cell RNA-Sequencing Data." Applied Sciences 13, no. 20 (2023): 11512. http://dx.doi.org/10.3390/app132011512.

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The glm R package is commonly used for generalized linear modeling. In this paper, we evaluate the ability of the glm package to predict binomial outcomes using logistic regression. We use single-cell RNA-sequencing datasets, after a series of normalization, to fit data into glm models repeatedly using 10-fold cross-validation over 100 iterations. Our evaluation criteria are glm’s Precision, Recall, F1-Score, Area Under the Curve (AUC), and Runtime. Scores for each evaluation category are collected, and their medians are calculated. Our findings show that glm has fluctuating Precision and F1-S
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Østergaard, Jacob, Mark A. Kramer, and Uri T. Eden. "Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models." Neural Computation 30, no. 1 (2018): 125–48. http://dx.doi.org/10.1162/neco_a_01030.

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To understand neural activity, two broad categories of models exist: statistical and dynamical. While statistical models possess rigorous methods for parameter estimation and goodness-of-fit assessment, dynamical models provide mechanistic insight. In general, these two categories of models are separately applied; understanding the relationships between these modeling approaches remains an area of active research. In this letter, we examine this relationship using simulation. To do so, we first generate spike train data from a well-known dynamical model, the Izhikevich neuron, with a noisy inp
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Dissertations / Theses on the topic "General linear model (GLM)"

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Drakenward, Ellinor, and Emelie Zhao. "Modeling risk and price of all risk insurances with General Linear Models." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275696.

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Denna kandidatexamen ligger inom området matematisk statistik. I samarbete med försäkringsbolaget Hedvig syftar denna avhandling till att utforska en ny metod för hantering av Hedvigs försäkringsdata genom att bygga en prissättningsmodell för alla riskförsäkringar med generaliserade linjära modeller. Två generaliserade linjära modeller byggdes, där den första förutspår frekvensen för ett anspråk och den andra förutspår svårighetsgraden. De ursprungliga uppgifterna delades in i 9 förklarande variabler. Båda modellerna inkluderade fem förklarande variabler i början och reducerades sedan. Minskni
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Kusi, Joseph. "Variations in Phenotypic Plasticity and Fluctuating Asymmetry of Leaf Morphology of Three Quercus (Oak) Species in Response to Environmental Factors." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etd/1160.

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Leaf morphology of Quercus (oak) species is highly variable and complicated confounded with phenotypic plasticity and fluctuating asymmetry (FA). However, the study of variation is mostly limited to leaf morphology. This study was extended to plasticity and FA variations in Q. alba (white oak), Q. palustris (pin oak), and Q. velutina (black oak). It was hypothesized that light exposure, individual trees, leaf position, and other leaf traits will influence variation in these species. Leaves were sampled from trees of these species and their morphological traits were measured. Absolute asymmetry
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Slavíček, Tomáš. "Software pro výběr pacientů a oblastí mozku vhodných k analýze konektivity z fMRI dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219502.

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The aim of this thesis is to create an exploratory tool for functional magnetic resonance imaging data, which allows quickly and easily making a selection of persons and areas suitable for group analysis of connectivity. In the first chapters of this work is mentioned history of brain research and comparison of methods used in functional imaging. Next they are discussed the theoretical basis of fMRI methods, such as the formation of BOLD signal, acquisition parameters of MRI images and methods for designing experiments. The following chapter describes in detail the analysis of recorded data fr
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Park, Jeanseong. "Longitudinal Data Analysis Using Generalized Linear Model with Missing Responses." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33355.

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Longitudinal studies rely on data collected at several occasions from a set of selected individuals. The purpose of these studies is to use a regression-type model to express a response variable as a function of explanatory variables, or covariates. In this thesis, we use marginal models for the analysis of such data, which, coupled with the method of estimating equations, provide estimators of the main regression parameter. When some of the responses are missing or there is error in the recorded covariates, the original estimating equation may be biased. We use techniques available in the lit
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Labounek, René. "Fúze simultánních EEG-FMRI dat za pomoci zobecněných spektrálních vzorců." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-371799.

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Mnoho rozdílných strategií fúze bylo vyvinuto během posledních 15 let výzkumu simultánního EEG-fMRI. Aktuální dizertační práce shrnuje aktuální současný stav v oblasti výzkumu fúze simultánních EEG-fMRI dat a pokládá si za cíl vylepšit vizualizaci úkolem evokovaných mozkových sítí slepou analýzou přímo z nasnímaných dat. Dva rozdílné modely, které by to měly vylepšit, byly navrhnuty v předložené práci (tj. zobecněný spektrální heuristický model a zobecněný prostorovo-frekvenční heuristický model). Zobecněný frekvenční heuristický model využívá fluktuace relativního EEG výkonu v určitých frekve
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Zhao, Yonggang. "The general linear model for censored data." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1054781042.

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Hatzinger, Reinhold. "A GLM framework for item response theory models. Reissue of 1994 Habilitation thesis." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2008. http://epub.wu.ac.at/1384/1/document.pdf.

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The aim of the monograph is to contribute towards bridging the gap between methodological developments that have evolved in the social sciences, in particular in psychometric research, and methods of statistical modelling in a more general framework. The first part surveys certain special psychometric models (often referred to as Rasch family of models) that share common properties: separation of parameters describing qualities of the subject under investigation and parameters related to properties of the situation under which the response of a subject is observed. Using conditional maximum li
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HUANG, BIN. "STATISTICAL ASSESSMENT OF THE CONTRIBUTION OF A MEDIATOR TO AN EXPOSURE OUTCOME PROCESS." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1005678075.

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Yu, Lili. "Variable selection in the general linear model for censored data." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1173279515.

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Sexton, David M. H. "Estimation of anthropogenic signals in an atmospheric climate model, using the General Linear Model." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342120.

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Books on the topic "General linear model (GLM)"

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Isadore, Newman, and Kelly Francis J. 1926-, eds. Testing research hypotheses with the general linear model. Southern Illinois University Press, 1996.

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Walter, Krämer. The linear regression model under test. Physica-Verlag, 1986.

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Johnston, R. J. Multivariate statistical analysis in geography: A primer on the general linear model. Longman Scientific & Technical, 1986.

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W, Evans George. The algebra of ARMA processes and the structure of ARMA solutions to a general linear model with rational expectations. Institute for Mathematical Studies in the Social Sciences, Stanford University, 1985.

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Sánchez, Carlos Raúl. Using the Multivariate General Linear Model (MANOVA) in SPSS to Identify the Main and Interaction Effects of a Product Description Created by a Human Being Versus Artificial Intelligence. SAGE Publications Ltd, 2024. http://dx.doi.org/10.4135/9781529685282.

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Miles, Jeremy. General and generalised linear models. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0017.

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This chapter discusses general and generalised linear models (GLM and GLZ respectively). It outlines GLMs (mean, properties of GLMs and the mean), samples and populations, comparison of two groups of data, multiple regression and the GLM, analysis of variance (ANOVA) and the GLM, GLM in SPSS, and the GLZ).
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General Linear Model. Cambridge University Press, 2023.

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General Linear Model: A Primer. Cambridge University Press, 2023.

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General Linear Model: A Primer. Cambridge University Press, 2023.

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The General Linear Model: A Primer. Cambridge University Press, 2023.

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Book chapters on the topic "General linear model (GLM)"

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Salinas Ruíz, Josafhat, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, and Jose Crossa Hiriart. "Generalized Linear Models." In Generalized Linear Mixed Models with Applications in Agriculture and Biology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32800-8_2.

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AbstractIn the generalized linear model (GLM) (which is not highly general) y = Xβ + ϵ, the response variables are normally distributed, with constant variance across the values of all the predictor variables, and are linear functions of the predictor variables. Transformations of data are used to try to force the data into a normal linear regression model or to find a non-normal-type response variable transformation (discrete, categorical, positive continuous scale, etc.) that is linearly related to the predictor variables; however, this is no longer necessary. Instead of using a normal distr
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Wignall, T. K., and J. De Geoffroy. "Application of the General Linear Model (GLM) and Operations Research (OR) Models to the Optimization of Field Exploration and Development Planning." In Statistical Models for Optimizing Mineral Exploration. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1861-3_5.

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Wang, Xinru, Song Pan, Xingxing Zhang, Li Chang, and Yiqiao Liu. "Analysis and Interpretation of the Particulate Matter Concentrations at the Subway Stations by General Linear Model (GLM) and Correlation Analysis." In Data-driven Analytics for Sustainable Buildings and Cities. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2778-1_13.

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Keener, Robert W. "General Linear Model." In Theoretical Statistics. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-93839-4_14.

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Lindman, Harold R. "General Linear Model." In Springer Texts in Statistics. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4613-9722-9_15.

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Ravishanker, Nalini, Zhiyi Chi, and Dipak K. Dey. "General Linear Model." In A First Course in Linear Model Theory, 2nd ed. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315156651-4.

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Wüthrich, Mario V., and Michael Merz. "Generalized Linear Models." In Springer Actuarial. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12409-9_5.

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AbstractThis chapter discusses state-of-the-art statistical modeling in insurance and actuarial science, which is the generalized linear model (GLM). We discuss GLMs in the light of claim count and claim size modeling, we present feature engineering, model fitting, model selection, over-dispersion, zero-inflated claim counts problems, double GLMs, and insurance-specific issues such as the balance property for having unbiasedness.
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Kontoghiorghes, Erricos John. "The General Linear Model." In Advances in Computational Economics. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4571-2_4.

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Perrett, Jamis J. "The General Linear Model." In Statistics and Computing. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-5557-9_8.

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Harville, David A. "The General Linear Model." In Linear Models and the Relevant Distributions and Matrix Algebra. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003384878-4.

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Conference papers on the topic "General linear model (GLM)"

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Lai, Haipeng, Zhigang Li, Jie-Hui Zheng, and Jinyu Yu. "State-Independent Linear Power Flow Model Considering Voltage Magnitude and Network Loss." In 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10688630.

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Zeng, Yuan, Wenya Xue, Junzhi Ren, and Chao Qin. "An Improved Hybrid-driven Method for Security Region Construction Considering Adaptability of Linear Power Flow Model." In 2024 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2024. http://dx.doi.org/10.1109/pesgm51994.2024.10689242.

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Panwal, Sammy Joel, Nathaniel Wambebe, and Adindu C. Kingsley. "Assessing the Impact of Generator-Related Air Pollution on Stress Levels among Printing Press Workers in Abuja, Nigeria: A Generalized Linear Model (GzLM) Analysis." In Africa International Conference on Clean Energy and Energy Storage. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-ij22km.

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The impact of air pollution on public and environmental remains huge burden in Nigeria that has not been properly addressed. Poverty energy supply has further exacerbated the current situations making business to rely on generators for energy power supply. This study aims to assess the impact of generators-induced air pollution on stress levels among printing press workers in a specific setting Abuja. This cross-sectional designed was adopted to conduct this study among printing press workers who use generators in Abuja. A total of 508 workers were selected using simple random sampling. Data o
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Rand, Omri, Sean Hersey, Ondrej Juhasz, Vladimir Khromov, Roberto Celi, and Mark Tischler. "Linear Inflow Model Extraction from High-Fidelity Aerodynamic Models for Flight Dynamics Applications." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10206.

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Modern aerodynamic analysis tools such as free wake models and CFD-based techniques, include fewer theoretical limitations and approximations than classical-simplified schemes, and represent the state-of-the-art in rotorcraft aerodynamic modeling. However, they are impractical or impossible to apply to many flight dynamics problems because they are not formulated in state-space form and are often computationally intensive. Inflow models that couple the accuracy of free wake or CFD and the simplicity and state-space form of dynamic inflow-type theory would be an important contribution to the fi
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Mulholland, Michael. "Refinery Optimal Transitions by Iterative Linear Programming." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.180110.

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This paper focuses on the control and dynamics of an oil refinery process on an intermediate level - the flows, masses and compositions of and between units within the refining operation. It aims to elucidate optimal strategies for the routing of streams during upset events imposed on the process. A general flowsheet simulation technique including tunable controllers for flows, compositions, levels and reaction extents is incorporated in a Linear Programming model. A standard node represents a mixed receiving tank, with exit streams which can be split, converted and separated. These nodes can
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LIUBKINA, Olena, Natalia KOVTUN, Mariya KNIR, and Lyudmyla ANISIMOVA. "SCENARIO MODELING OF FRONTIER FINANCIAL MARKET DEVELOPMENT." In International Scientific Conference „Contemporary Issues in Business, Management and Economics Engineering". Vilnius Gediminas Technical University, 2021. http://dx.doi.org/10.3846/cibmee.2021.612.

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Purpose – Hypothesis verification and quantification of the relationship between drivers and the resulting factors for a lasting impact on the long-term ICT development, globalization, structural changes in the geo-economy and changes in socio-ethical standards in society in the frontier financial markets. Research methodology – Based on open source information, a database of almost 19,000 data was formed - 748 obser-vations by country on 25 indicators. The simulation was performed on the basis of a mixed-model, which is a statistical model that is an extended version of the General Linear Mod
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Nastase, Adriana. "Calculation models of net risk premiums for RCA insurance contracts." In International Scientific-Practical Conference "Economic growth in the conditions of globalization". National Institute for Economic Research, 2023. http://dx.doi.org/10.36004/nier.cecg.iii.2023.17.34.

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Starting from the fundamental role of insurance, that of providing protection by the insurer to the person interested in concluding an insurance contract (the insured) in exchange for the insurance premium (insurance price), advanced mathematical models have been developed for the appropriate determination of the insurance price. In Romania, RCA insurance is one of the most regulated insurances due to the importance it occupies from the point of view of the volume of gross premiums subscribed. In the total of gross premiums written in Romania, both general and life insurance, RCA insurance hol
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Azizi, MohammadJavad, Branislav Kveton, and Mohammad Ghavamzadeh. "Fixed-Budget Best-Arm Identification in Structured Bandits." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/388.

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Best-arm identification (BAI) in a fixed-budget setting is a bandit problem where the learning agent maximizes the probability of identifying the optimal (best) arm after a fixed number of observations. Most works on this topic study unstructured problems with a small number of arms, which limits their applicability. We propose a general tractable algorithm that incorporates the structure, by successively eliminating suboptimal arms based on their mean reward estimates from a joint generalization model. We analyze our algorithm in linear and generalized linear models (GLMs), and propose a prac
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Du, Zhengxiao, Yujie Qian, Xiao Liu, et al. "GLM: General Language Model Pretraining with Autoregressive Blank Infilling." In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.acl-long.26.

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Naufal, N., S. Devila, and D. Lestari. "Generalized linear model (GLM) to determine life insurance premiums." In PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5132463.

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Reports on the topic "General linear model (GLM)"

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Rauscher, Harold M. The microcomputer scientific software series 3: general linear model--analysis of variance. U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, 1985. http://dx.doi.org/10.2737/nc-gtr-86.

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Tummaruk, Padet, Kakanang Buranaamnuay, Wanpen Adulyanubap, Jinda Singlor, and Mongkol Techakumphu. Development of techniques for freezing boar semen. Chulalongkorn University, 2006. https://doi.org/10.58837/chula.res.2006.91.

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The objective of the present study was to investigate the feasibility of boar semen cryopreservation in Thailand and to investigate factors that could affect the boar semen quality after cryopreservation. Fifteen purebred boars (5 Landrace, 5 Yorkshire and 5 Duroc) from 2 commercial herds in Nakorn-prathom province were used in the experiment. Three ejaculates from each boar were collected with over one-week interval using gloved-hand technique. After collection, the semen was diluted with isothermal Beltsville thawing solution (BTS) extender. Diluted semen was held at 15 °C for 2 h and centri
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Chan, W. W., K. L. McLaughlin, R.-S. Jih, M. E. Marshall, and R. A. Wagner. Comprehensive Magnitude Yield Estimation for Nuclear Explosions: A maximum Likelihood General Linear Model (MLE-GLM88). Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada203389.

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Aguiar, Angel, Erwin Corong, and Dominique van der Mensbrugghe. Detailed Trade Policy Simulations Using a Global General Equilibrium Model. GTAP Working Paper, 2021. http://dx.doi.org/10.21642/gtap.wp89.

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For the majority of studies using global general equilibrium models, the sectoral detail provided by the GTAP Data Base would be sufficient. However, analyses aimed at supporting trade negotiations or detailed trade policy regulations often require modeling at the tariff linear Harmonized System (HS) level. We bridge this gap by providing an automated data and model workflow that allows GTAP-based analyses at the HS level. In this paper, we illustrate and explain the use of this workflow by first carrying out a data procedure where we redefine GTAP sectors related to the auto industry — though
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Mathew, Sonu, Srinivas S. Pulugurtha, and Sarvani Duvvuri. Modeling and Predicting Geospatial Teen Crash Frequency. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2119.

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This research project 1) evaluates the effect of road network, demographic, and land use characteristics on road crashes involving teen drivers, and, 2) develops and compares the predictability of local and global regression models in estimating teen crash frequency. The team considered data for 201 spatially distributed road segments in Mecklenburg County, North Carolina, USA for the evaluation and obtained data related to teen crashes from the Highway Safety Information System (HSIS) database. The team extracted demographic and land use characteristics using two different buffer widths (0.25
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Koop, Gary, Jamie Cross, and Aubrey Poon. Introduction to Bayesian Econometrics in MATLAB. Instats Inc., 2022. http://dx.doi.org/10.61700/t3wrch7yujr7a469.

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This seminar provides an introduction to Bayesian econometrics. It covers the general theory underlying Bayesian econometrics and Bayesian inference in the linear regression model including an introduction of Bayesian machine learning methods for Big Data regression. Bayesian computational methods such as Gibbs sampling and the Metropolis-Hastings algorithm will be covered, with hands-on lab sections run using real-world data so that you will be able to apply these methods in your ongoing research. An official Instats certificate of completion is provided at the conclusion of the seminar. For
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Koop, Gary, Jamie Cross, and Aubrey Poon. Introduction to Bayesian Econometrics in MATLAB. Instats Inc., 2023. http://dx.doi.org/10.61700/aebi3thp50fr3469.

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This seminar provides an introduction to Bayesian econometrics. It covers the general theory underlying Bayesian econometrics and Bayesian inference in the linear regression model including an introduction of Bayesian machine learning methods for Big Data regression. Bayesian computational methods such as Gibbs sampling and the Metropolis-Hastings algorithm will be covered, with hands-on lab sections run using real-world data so that you will be able to apply these methods in your ongoing research. An official Instats certificate of completion is provided at the conclusion of the seminar. For
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Riveros, Guillermo, Felipe Acosta, Reena Patel, and Wayne Hodo. Computational mechanics of the paddlefish rostrum. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41860.

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Purpose – The rostrum of a paddlefish provides hydrodynamic stability during feeding process in addition to detect the food using receptors that are randomly distributed in the rostrum. The exterior tissue of the rostrum covers the cartilage that surrounds the bones forming interlocking star shaped bones. Design/methodology/approach – The aim of this work is to assess the mechanical behavior of four finite element models varying the type of formulation as follows: linear-reduced integration, linear-full integration, quadratic-reduced integration and quadratic-full integration. Also presented i
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Lubowa, Nasser, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Pharmaceutical Industry in Uganda: A Review of the Common GMP Non-conformances during Regulatory Inspections. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317442.

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The prevalence of substandard medicines in Africa is high but not well documented. Low and Middle-Income Countries (LMICs) are likely to face considerable challenges with substandard medications. Africa faces inadequate drug regulatory practices, and in general, compliance with Good Manufacturing Practices (GMP) in most of the pharmaceutical industries is lacking. The majority of pharmaceutical manufacturers in developing countries are often overwhelmed by the GMP requirements and therefore are unable to operate in line with internationally acceptable standards. Non-conformances observed durin
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Agassi, Menahem, Michael J. Singer, Eyal Ben-Dor, et al. Developing Remote Sensing Based-Techniques for the Evaluation of Soil Infiltration Rate and Surface Roughness. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7586479.bard.

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The objective of this one-year project was to show whether a significant correlation can be established between the decreasing infiltration rate of the soil, during simulated rainstorm, and a following increase in the reflectance of the crusting soil. The project was supposed to be conducted under laboratory conditions, using at least three types of soils from each country. The general goal of this work was to develop a method for measuring the soil infiltration rate in-situ, solely from the reflectance readings, using a spectrometer. Loss of rain and irrigation water from cultivated fields is
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